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Record W4312425558 · doi:10.7202/1085578ar

L’analyse des mobiles comme méthode qualitative : un exemple tiré d’une recherche sur le traitement des agresseurs sexuels pédophiles

2022· article· fr· W4312425558 on OpenAlex
Martin Drapeu, Annett Körner, Louis Brunet, Luc Granger, Yves de Roten, Franz Caspar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueRecherches qualitatives · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsUniversité de MontréalUniversité du Québec à MontréalMcGill University
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Les deux reproches les plus souvent adressés à la recherche qualitative sont, d’une part, de parfois tendre vers un positivisme et, d’autre part et surtout, de négliger les liens dynamiques entre les thèmes étudiés. Le but de cet article est de suggérer une méthodologie visant à établir systématiquement les liens entre les différents thèmes étudiés : l’analyse des mobiles ( Plan Analysis ; Caspar, 1995, 1997). L’utilisation de cette approche est illustrée à l’aide d’une recherche sur la motivation au traitement chez des agresseurs sexuels pédophiles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.836
GPT teacher head0.559
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it