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This chapter focuses on the philosophical novels of Sarah Fielding and Sarah Scott, younger sisters to fame and zealous proponents of literary and social reform, though perhaps not in that order. Tracking their novels’ trajectory away from the organizing singular narrator toward collective perspectives allows me to diagram a genealogical chain of formal experimentation that runs through Sarah Fielding’s The Adventures of David Simple (1744) and The Governess (1749) through Sarah Scott’s Description of Millenium Hall (1762). This chapter offers a new approach that discerns the patterned formal framework that undergirds how these novels imagine reparative communal responses to gender-based harms and women-centered alternatives to possessive individualism.
This chapter demonstrates how William Earle’s abolitionist novel Obi; or, The History of Three-Fingered Jack (1800) uses interpolated tales, along with other embedded forms, to vocalize multiple perspectives across cultural and racial difference, while acknowledging the vexed ethics of using a print text to speak for populations largely excluded from literacy and the literary marketplace. Interrupting the otherwise epistolary narrative, “Makro and Amri: An African Tale” allows an enslaved mother to transmit her native Feloop culture to her Jamaica-born son, inspiring him to lead the rebellion for which they both die fighting. Thus allying herself with violence and animating the plot, Amri emerges as one of the most powerful female speakers in late eighteenth- and early nineteenth-century fiction. Under this approach, the colonial hierarchy of speaker and spoken for emerges as another lopsided power relation available to be acknowledged, denaturalized, and perhaps undermined once we observe and name the ironic breach between novel and tale.
This chapter focuses on the problems of authorship that hover around The Memoirs of a Lady of Quality, an autobiographical text embedded in Tobias Smollett’s Adventures of Peregrine Pickle (1751), and how these debates have served as a proxy for critics’ different accounts of the relation between gender and form. I demonstrate how the notorious aristocrat Lady Vane uses her scandalous memoir to voice her real marital complaints within Smollett’s novel, which despite a predominating misogyny, endorses her bid to rewrite her fallen public character as a literary one. As seen in chapter one, the idea that a woman’s speech could play a determinative role in conferring social legitimacy is treated as a conjectural privilege exercisable only in fiction. The resistant reading I offer here highlights the undeniable limitations of how Smollett and his text think about gender, while finding room for modern readers to re-engage meaningfully with both texts, novel and tale. Discovery of the first standalone publication of Memoirs, as a sumptuous art book with erotic illustrations by Véra Willoughby in 1925, demonstrates the radical feminist and queer potentiality of the text and its embedded form.
Exploring how early novels experimented with stories-within-stories, Katie Charles shows how such interpolated tales confronted readers with an array of interpretive challenges. Considering the habitual nature of these interruptions by seemingly throwaway extra plots, she investigates why they persistently unnerve readers with the sense that they have “lost the plot.” Taking the bold critical step of recognizing interpolated tales as a category worthy of analysis, she raises new and exciting questions around how these tales should be read and by what measure they might be said to “count.” The peculiar literary history reconstructed here offers a key for assessing how various texts and readers think about who gets to speak and be heard, choices of particular import in the context of gender difference and its historical relation to public speech. Lost Plots argues that attending to this forgotten body of evidence opens up a new account of gendered speech and power.
This chapter traces the long history of critical arguments that frame Henry Fielding’s interpolated tales as feminized “freckles” and “blemishes” that mar his otherwise masculine plots. Taking the much-squabbled about “History of Leonora” from Joseph Andrews (1742) as a case study, I examine the interpretive dilemmas posed by a tale that purports not only to speak across the gender binary but across an ossified, almost caricatured gender binary. My close reading of “The History of Leonora” contends with its intertextuality, likely joint authorship with Sarah Fielding, and structuring around negative space. Based on this body of evidence, I argue that a singularly nuanced female subjectivity emerges from the clash of tale-narrator, heroine, and spiteful town gossips, all of them women whose talking about women enables a critique of the social possibilities open to them – one that shimmies free space for alternatives to reflexively binary thinking.
In this reading of Frances Sheridan’s sentimental novel, The Memoirs of Miss Sidney Bidulph (1761), centering a short embedded tale, previously dismissed as “padding,” flips the script such that didacticism serves as an object of critique instead of its vehicle. As a captivity narrative about debt and consent, “The History of Miss Price” tells of how its plucky tale heroine escapes a sexually predatory creditor, eventually achieving her comic ending with the help of Sidney Bidulph, the otherwise passive novel heroine. In a plot line more famously recirculated by Susanna Rowson in Charlotte Temple (1794) and Charles Dickens in Nicholas Nickleby (1838–1839), Sheridan provides a public forum for legitimating gendered harms previously silenced as too private to be shareable. As a successful speech act, the tale rebukes the novel heroine’s supposedly exemplary model of female passivity and quiescence, and its form, message, and critique are reiterated in the sequel, Conclusion of the Memoirs of Miss Sidney Bidulph (1767).
Despite sensitivity to the contextual demands of modification, children struggle with the production of complex NPs. What syntactic or semantic properties of NP embedding specifically introduce complexity? We compare production of definite descriptions with two modifiers that contrast in the attachment of the second modifier: sequential vs. recursive modification. Children (n = 71) produced overall fewer targets than adults (n = 13), but both groups found double nonrecursive modification (e.g. the plate with oranges under the table) much easier than recursive modification (e.g. the bird on the alligator in the water). We conclude that each embedding step introduces complexity beyond the elements and operations employed in the semantic composition of the structure, or the cyclic syntax that generates it.
Languages have several grammatical means of expressing the relation between speaker and addressee, including speech-style particles, politeness pronouns, allocutive marking, and honorifics. Despite the similarity in the meaning they convey, these politeness markers fall into two distributional classes: some ('content-oriented markers of politeness’) can occur in complement clauses, while others ('utterance-oriented markers of politeness’) are restricted to matrix contexts. Focusing on speech-style markers in Korean and second-person pronouns in Romance languages (especially Italian), we develop a dynamic pragmatics model of the distinct kind of meaning that they encode and provide an analysis that accounts for their distributional differences.
Levinson 2013 (L13) argues against the idea that ‘recursion, and especially recursive center embedding, might be the core domain-specific property of language’ (p. 159), citing crosslinguistic grammatical data and specific corpus studies. L13 offers an alternative: language inherits its recursive properties ‘from the action domain’ (p. 159). We argue that L13's claims are at best unwarranted and can in many instances be shown to be false. L13's reasoning is similarly flawed— in particular, the presumption that center-embedding can stand proxy for embedding (and clausal embedding can stand proxy for recursion). Thus, no support remains for its conclusions. Furthermore, though these conclusions are pitched as relevant to specific claims that have been published about the role of syntactic recursion, L13 misrepresents these claims. Consequently, even an empirically supported, better-reasoned version of L13 would not bear on the questions it claims to address.
Exploring how early novels experimented with stories within stories, Katie Charles shows how interpolated tales confronted readers with an array of interpretive challenges. Considering the habitual nature of these interruptions by seemingly throwaway extra plots, she investigates why they persistently unnerve readers with the sense that they have 'lost the plot.' Taking the bold critical step of recognizing interpolated tales as a category worthy of analysis, she raises new and exciting questions around how these tales should be read and by what measure they might be said to 'count.' The peculiar literary history reconstructed here offers a key for assessing how various texts and readers think about who gets to speak and be heard, choices of particular import in the context of gender difference and its historical relation to public speech. Lost Plots argues that attending to this forgotten body of evidence opens up a new account of gendered speech and power.
Embedding technology plays a pivotal role in deep learning, particularly in industries such as recommendation, advertising, and search. It is considered a fundamental operation for transforming sparse vectors into dense representations that can be further processed by neural networks. Beyond its basic role, embedding technology has evolved significantly in both academia and industry, with applications ranging from sequence processing to multifeature heterogeneous data. This chapter discusses the basics of embedding, its evolution from Word2Vec to graph embeddings and multifeature fusion, and its applications in recommender systems, with an emphasis on online deployment and inference.
Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.
Hanging Topic Left Dislocations are widely deemed to constitute root phenomena, though they occasionally appear in embedded contexts. I submit that the apparent embeddability of left dislocations is merely illusory: they are in actuality matrix phenomena in disguise. A novel cross-linguistic contrast is brought to light: in English, subordinate hanging topics are broadly attested, and they can occur with or without a secondary complementizer. In Spanish, by contrast, embedded hanging topics that are not followed by a secondary complementizer are not part of the grammar, a pattern that extends to Dutch. Left-peripheral analyses assuming an elaborated left periphery fall short of capturing this contrast non-stipulatively. Nevertheless, the recent paratactic approach to recomplementation (i.e. double-complementizer) structures, which assumes that such constructions involve two matrix sentences linked paratactically and that the secondary complementizer flags a restart in discourse, provides a more satisfactory account of the English–Spanish asymmetry: the difference between the two languages ultimately reduces to the possibility of omitting subordinating complementizers in English but not in Spanish. On this view, embedded left dislocations are in fact undercover root constructions, in line with their generally accepted characterization as Main Clause Phenomena.
In this paper, we show that the existence of certain first-countable compact-like extensions is equivalent to the equality between corresponding cardinal characteristics of the continuum. For instance, $\mathfrak b=\mathfrak s=\mathfrak c$ if and only if every regular first-countable space of weight $< \mathfrak c$ can be densely embedded into a regular first-countable countably compact space.
The KBD theorem is about embedding subsequences of shifts of a suitably regular set into some target set. Developing work of Kingman (1963, 1964), we extend this here to embedding into all members of a family of sets. Useful here is the idea of shift-compactness. We also begin to pass effortlessly between the category and measure cases by working bitopologically, using the Euclidean topology for the category case and the density topology (Chapter 7) for the measure case.
In this paper, we study the embedding problem of an operator into a strongly continous semigroup. We obtain characterizations for some classes of operators, namely composition operators and analytic Toeplitz operators on the Hardy space $H^2$. In particular, we focus on the isometric ones using the necessary and sufficient condition observed by T. Eisner.
In this paper we consider positional games where the winning sets are edge sets of tree-universal graphs. Specifically, we show that in the unbiased Maker-Breaker game on the edges of the complete graph $K_n$, Maker has a strategy to claim a graph which contains copies of all spanning trees with maximum degree at most $cn/\log (n)$, for a suitable constant $c$ and $n$ being large enough. We also prove an analogous result for Waiter-Client games. Both of our results show that the building player can play at least as good as suggested by the random graph intuition. Moreover, they improve on a special case of earlier results by Johannsen, Krivelevich, and Samotij as well as Han and Yang for Maker-Breaker games.
Given an $n\times n$ symmetric matrix $W\in [0,1]^{[n]\times [n]}$, let ${\mathcal G}(n,W)$ be the random graph obtained by independently including each edge $jk\in \binom{[n]}{2}$ with probability $W_{jk}=W_{kj}$. Given a degree sequence $\textbf{d}=(d_1,\ldots, d_n)$, let ${\mathcal G}(n,\textbf{d})$ denote a uniformly random graph with degree sequence $\textbf{d}$. We couple ${\mathcal G}(n,W)$ and ${\mathcal G}(n,\textbf{d})$ together so that asymptotically almost surely ${\mathcal G}(n,W)$ is a subgraph of ${\mathcal G}(n,\textbf{d})$, where $W$ is some function of $\textbf{d}$. Let $\Delta (\textbf{d})$ denote the maximum degree in $\textbf{d}$. Our coupling result is optimal when $\Delta (\textbf{d})^2\ll \|\textbf{d}\|_1$, that is, $W_{ij}$ is asymptotic to ${\mathbb P}(ij\in{\mathcal G}(n,\textbf{d}))$ for every $i,j\in [n]$. We also have coupling results for $\textbf{d}$ that are not constrained by the condition $\Delta (\textbf{d})^2\ll \|\textbf{d}\|_1$. For such $\textbf{d}$ our coupling result is still close to optimal, in the sense that $W_{ij}$ is asymptotic to ${\mathbb P}(ij\in{\mathcal G}(n,\textbf{d}))$ for most pairs $ij\in \binom{[n]}{2}$.
Machine learning has revolutionized many fields, including science, healthcare, and business. It is also widely used in network data analysis. This chapter provides an overview of machine learning methods and how they can be applied to network data. Machine learning can be used to clean, process, and analyze network data, as well as make predictions about networks and network attributes. Methods that transform networks into meaningful representations are especially useful for specific network prediction tasks, such as classifying nodes and predicting links. The challenges of using machine learning with network data include recognizing data leakage and detecting dataset shift. As with all machine learning, effective use of machine learning on networks depends on practicing good data hygiene when evaluating a predictive model’s performance.
Every countable group G can be embedded in a finitely generated group $G^*$ that is hopfian and complete, that is, $G^*$ has trivial centre and every epimorphism $G^*\to G^*$ is an inner automorphism. Every finite subgroup of $G^*$ is conjugate to a finite subgroup of G. If G has a finite presentation (respectively, a finite classifying space), then so does $G^*$. Our construction of $G^*$ relies on the existence of closed hyperbolic 3-manifolds that are asymmetric and non-Haken.