MétaCan
Menu
Back to cohort
Record W2047850834 · doi:10.7202/039887ar

Notre maître le passé ?

2010· article· fr· W2047850834 on OpenAlexaffvenueabout
Martin Petitclerc

Bibliographic record

VenueRevue d histoire de l Amérique française · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

J’aimerais réfléchir, dans cet article, à quelques enjeux relatifs à la « crise » de l’histoire sociale québécoise et à l’émergence d’une nouvelle histoire des idées qui prétend fonder un nouveau rapport au passé. Après une période pendant laquelle l’histoire sociale a pratiquement régné sans partage, les constats d’un essoufflement, voire d’une crise, se sont succédé au cours des années 1990. Au tournant des années 2000, ces constats de crise ont laissé progressivement place à une critique plus radicale qui a rejeté en bloc l’histoire sociale, l’accusant d’avoir construit un récit moderniste méprisant à l’égard de la tradition. Cette critique a soutenu qu’une nouvelle histoire des idées, plus respectueuse de la tradition, permettrait de mieux rendre compte de la crise actuelle d’une société québécoise en perte de repères identitaires, politiques et sociaux. Cet article vise donc à explorer cette conjoncture historiographique, indissociable d’un contexte intellectuel et politique plus large, qui remet en question la pertinence même de comprendre le passé québécois à partir des thèmes centraux de l’histoire sociale, et notamment celui des inégalités sociales. Il appelle finalement les praticiens actuels de l’histoire sociale à une refondation d’un projet historiographique critique autour du problème du changement social.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.451
Threshold uncertainty score0.908

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.023
Scholarly communication0.0120.009
Open science0.0020.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0190.002

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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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 designNot applicable
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

Citations14
Published2010
Admission routes3
Has abstractyes

Explore more

Same venueRevue d histoire de l Amérique françaiseSame topicCanadian Identity and HistoryFrench-language works237,207