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Record W1553952921

L'historiographie de la Révolution tranquille et ses rapports à la mémoire canadienne-française : 1960 à aujourd'hui

2013· article· fr· W1553952921 on OpenAlexaboutno aff
Sébastien Parent

Bibliographic record

VenueArchipelago (Université du Québec à Montréal) · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtFrench revolutionPhilosophyPolitical sciencePolitics
DOInot available

Abstract

fetched live from OpenAlex

Cette thèse n'est pas une histoire de la Révolution tranquille et encore moins une chronique de ses historiens. Le projet consiste plutôt à retracer l'évolution du rapport à la mémoire canadienne-française en scrutant le traitement historien d'un fait historique circonscrit. Il ne nous revient donc pas ici de juger de la validité des différentes interprétations instituées depuis un demi-siècle. La valeur des savoirs produits nous intéresse moins que le processus de distanciation et d'association à la mémoire par lequel les observateurs en arrivent à offrir d'un même phénomène historique des perspectives différentes. Notre hypothèse principale consiste en ceci que, depuis un demi-siècle, on assiste, en histoire académique - et donc de facture universitaire - à des tendances modifiant les rapports de l'historiographie à la mémoire nationale. Comme sous-hypothèse, nous avançons l'idée que cette mouvance dépend de différentes modalités liées aux types de rapports de l'histoire à la mémoire canadienne-française. Les interprétations historiques de la Révolution tranquille permettent de valider ces hypothèses. \n______________________________________________________________________________ \nMOTS-CLÉS DE L’AUTEUR : Histoire, Révolution tranquille, historiographie, mémoire, nation.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.409
Threshold uncertainty score0.824

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0080.008
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0220.001

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 head0.004
GPT teacher head0.164
Teacher spread0.160 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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