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Record W7066991572

"Le monde va changer de base" : l'horizon international du groupe marxiste-léniniste En Lutte! (1972-1982)

2019· other· fr· W7066991572 on OpenAlexaboutno aff

Bibliographic record

VenueArchipelago (Université du Québec à Montréal) · 2019
Typeother
Languagefr
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Ministry of Foreign AffairsBad debtInternational relations
DOInot available

Abstract

fetched live from OpenAlex

Ce mémoire a pour but d'approfondir la compréhension historique du militantisme marxiste-léniniste au Québec durant les années 1970. Il analyse la modulation de l'horizon international du groupe En Lutte! (1972-1982) dans le temps afin de cerner l'importance que cette organisation accordait aux événements extérieurs et vise à déterminer le rôle de ce regard sur le monde dans la trajectoire générale du groupe et sur les transformations de ses pratiques politiques. Le chapitre I analyse l'émergence du groupe En Lutte! en lien avec l'anti-impérialisme imprégnant la gauche radicale québécoise à la fin des années 1960. Le chapitre II examine la question du rapport aux modèles politiques étrangers (la Chine et l'Albanie) et décortique les processus d'adhérence et de rupture envers ceux-ci. Le chapitre III expose la pratique internationaliste d'En Lutte!, développée principalement à partir de l'année 1978, et démontre l'importance du dérèglement de l'horizon international du groupe dans la crise qui l'affecte au tournant des années 1980. _____________________________________________________________________________ MOTS-CLÉS DE L’AUTEUR : 1967-1982, Communisme, Marxisme-léninisme, Internationalisme, Gauche, Radicalisme, En Lutte!, Chine, Anti-impérialisme, Activisme, Québec (province), Albanie

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.796
Threshold uncertainty score0.446

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.009
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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
GenreOther

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

Citations0
Published2019
Admission routes1
Has abstractyes

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