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Record W2020226891 · doi:10.1353/his.0.0077

Generations and the Transformation of Social Movements in Postwar Canada

2009· article· fr· W2020226891 on OpenAlexvenueaboutno aff
Dominique Clement

Bibliographic record

VenueHistoire sociale · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologySocial movementBaby boomersPoliticsState (computer science)Context (archaeology)Political scienceSocial changePeriod (music)Political economySociologyGender studiesDevelopment economicsDemographic economicsHistoryLawEconomics

Abstract

fetched live from OpenAlex

Les historiens, en particulier au Canada, ont peu contribué à ce jour à l'étude des mouvements sociaux contemporains. Le financement par l'État, les conflits idéologiques et les changements démographiques ont eu un impact décisif sur les mouvements sociaux au Canada lors des années 1960 et 1970, comme le montre la présente étude de cas sur la Ligue des droits de l'homme (Montréal). Ces développements ont distingué les associations de défense des droits de la première génération (années 1930 aux années 1950) de ceux de la deuxième génération (années 1960 aux années 1980) au Canada. Le changement générationnel a été particulièrement marqué au sein de la Ligue. La vague démographique poussée par les enfants de l'après-guerre et la conjoncture sociale, économique et politique de l'époque ont eu de profondes répercussions sur les mouvements sociaux, déferlant tant sur les associations de défense des droits de la première et de la deuxième générations que, dans un contexte plus large, sur les mouvements dirigés par les femmes, les autochtones, les gais et lesbiennes, les Afro-Canadiens, la nouvelle gauche et les autres.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.469

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.007
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

Citations22
Published2009
Admission routes2
Has abstractyes

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