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Record W1481693870 · doi:10.7202/012612ar

Explorer la conduite des conduites

2006· article· fr· W1481693870 on OpenAlexaffvenueabout
Marie-Andrée Couillard

Bibliographic record

VenueAnthropologie et Sociétés · 2006
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Ce texte annonce un programme de recherche qui, en revisitant le discours sur la tempérance visant les Canadiens français du XIXesiècle, se propose d’explorer les premiers moments de l’avènement d’une subjectivité politique constituée dans les marges de l’Empire britannique. Les premières décennies qui ont suivi la conquête de l’Amérique du Nord ont été déterminantes pour l’instauration d’un mode de gouvernement qui a donné au clergé catholique une position de force. L’usage qu’il a fait du discours sur la tempérance en est clairement révélateur. Mais, au même moment, la lutte contre l’intempérance était aussi menée ailleurs, surtout par les Églises réformées. En suivant les ancrages et les modes d’interpellation propres à chaque contexte, on devrait pouvoir mieux comprendre comment des personnes sont objectivées, catégorisées, assignées à une individualité, en vue d’être gouvernées. Il s’agit donc de suivre un propos et des manières de faire, dans l’esprit des études coloniales et postcoloniales, en retenant que des rapports de pouvoir peuvent être « productifs ».

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.097
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.027
Scholarly communication0.0120.007
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0210.002

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 head0.210
GPT teacher head0.464
Teacher spread0.255 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2006
Admission routes3
Has abstractyes

Explore more

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