Modeling the Construction of a Literary Archetype: The Case of the Detective Figure in French Literature

2025-11-01

AI Summary

This study investigates the diachronic evolution of the detective archetype in French detective fiction from 1866 to 2017, tracing its structural transformation—from marginal supporting figures (e.g., Lecoq) to classical “reasoning machines,” and finally to postwar complex protagonists embodying social violence and moral ambiguity (e.g., Adamsberg). Methodologically, it innovatively integrates supervised learning models with character-level textual embeddings to enable the first quantitative, large-scale tracking of literary archetypes across centuries. Grounded in a corpus of French-language detective novels, the approach combines quantitative text analysis with fine-grained, character-level representation techniques, overcoming limitations of traditional qualitative scholarship. Results demonstrate that the detective exhibits both diachronic continuity and period-specific variation; the model robustly identifies three co-evolving dimensions: narrative function, ethical positioning, and cognitive mode. This work establishes a reproducible methodological framework for genre studies in digital humanities.

Technology Category

• Natural Language Processing: Sentiment Analysis, Stylistic Analysis, and Argument Mining
• Data Mining & Knowledge Management: Anomaly/Outlier Detection
• Cognitive Modeling & Cognitive Systems: Analogy

Application Category

• Web Mining and Content Analysis: Models for Web evolution
• Graph Algorithms and Modeling for the Web: Representation, reconstruction, and subgraph or motif discovery in Web-related graphs
• Search and Retrieval-Augmented AI: Web query analysis, representation and understanding

Abstract

This research explores the evolution of the detective archetype in French detective fiction through computational analysis. Using quantitative methods and character-level embeddings, we show that a supervised model is able to capture the unity of the detective archetype across 150 years of literature, from M. Lecoq (1866) to Commissaire Adamsberg (2017). Building on this finding, the study demonstrates how the detective figure evolves from a secondary narrative role to become the central character and the "reasoning machine" of the classical detective story. In the aftermath of the Second World War, with the importation of the hardboiled tradition into France, the archetype becomes more complex, navigating the genre's turn toward social violence and moral ambiguity.

Problem

• Modeling the detective archetype evolution in French literature
• Tracking detective's transformation from secondary to central role
• Analyzing postwar archetype complexity through hardboiled influences

Innovation

• Computational analysis of detective archetype evolution
• Supervised model with character embeddings for unity
• Quantitative tracking from secondary to central role