Hostname: page-component-5db58dd55d-lqwgf Total loading time: 0 Render date: 2026-05-26T12:16:58.208Z Has data issue: false hasContentIssue false

Decoding the conqueror’s gaze: A computational approach to Ennio Flaiano’s (post)colonialism

Published online by Cambridge University Press:  24 March 2026

Silvia Lilli
Affiliation:
Università degli Studi di Roma Tor Vergata , Rome, Italy
Daniel Raffini*
Affiliation:
Sapienza Università di Roma, Rome, Italy
*
Corresponding author: Daniel Raffini; Email: daniel.raffini@uniroma1.it
Rights & Permissions [Opens in a new window]

Abstract

Ennio Flaiano’s Tempo di uccidere (1947) has long divided critics over whether it challenges or merely aestheticizes Italian colonialism. This study applies computational narratology methods to investigate this ambivalence through systematic analysis of narrative focalization. Through manual annotation of 5,793 text segments across four narrative categories (Narrator, Conqueror, Indigenous and Description) and their subcategories, we examine how quantitative analysis of focalization patterns illuminates Flaiano’s complex stance toward the Ethiopian colonial campaign. We combine multiple analytical methods with an exploratory bottom-up approach: qualitative analysis of lexical distribution, part-of-speech distribution analysis to identify grammatical signatures of each narrative category and their semantic implications and syntactic role analysis to examine agency patterns in character representation. Statistical testing confirms that narrative categories exhibit robust grammatical distinctions, validating the annotation schema. The analysis reveals a deliberate ambiguity: syntactic role analysis shows comparable levels of agentivity between Indigenous and Conqueror characters, contrasting with traditional colonial discourse where colonized subjects are typically represented as passive. Lexical analysis exposes asymmetries in how characters are individuated and how different types of knowledge are attributed to each group. Rather than confirming a straightforward colonial or anti-colonial position, the analysis reveals how Flaiano through narrative techniques, exploiting and subverting genre conventions, consciously deconstructs the propagandistic reassuring ideology. This study contributes both methodologically – by developing an annotation schema for narrative focalization in Italian prose that can be applied to other texts – and interpretively, by demonstrating how computational narratology can document ideological complexity, revealing patterns invisible to traditional close reading alone.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Open Practices
Open materials
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Table 1. Annotation guidelines

Figure 1

Table A1. Number of sentences (or segments) annotated and sentence length

Figure 2

Table A2. Number of words

Figure 3

Table A3. Description subcategories

Figure 4

Table A4. Narrator subcategories

Figure 5

Table A5. Most frequent words by narrative category (top 20)

Figure 6

Table A6. Most distinctive adjectives in Conqueror corpus (top 20)

Figure 7

Table A7. Most distinctive adjectives in Indigenous corpus (top 20)

Figure 8

Table A8. Most distinctive nouns in Conqueror corpus (top 20)

Figure 9

Table A9. Most distinctive nouns in Indigenous corpus (top 20)

Figure 10

Table A10. Most distinctive verbs in Conqueror corpus (top 20)

Figure 11

Table A11. Most distinctive verbs in Indigenous corpus (top 20)

Figure 12

Table A12. Syntactic role distribution by category

Figure 13

Figure A1. Cluster analysis with balanced corpus (100 MFW, Classic Delta).

Figure 14

Figure A2. Cluster analysis with full corpus (150 MFW, Classic Delta).

Figure 15

Figure A3. Cluster analysis with full corpus (300 MFW, Classic Delta).

Figure 16

Figure A4. POS distribution comparison by category.

Figure 17

Figure A5. Syntactic role analysis: Agent/patient ratios for Indigenous and Conqueror categories.

Submit a response

Rapid Responses

No Rapid Responses have been published for this article.