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Record W7018998941

Façonner le Québec: populations, pouvoir et territoire. Actes des 21e et 22e colloques étudiants du CIEQ

2017· book· fr· W7018998941 on OpenAlexaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2017
Typebook
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Cultural environmentAnachronism
DOInot available

Abstract

fetched live from OpenAlex

Afin de diffuser les réflexions et les résultats des recherches de ses étudiants et étudiantes membres, le Centre interuniversitaire d’études québécoises (CIEQ) vous présente un nouveau numéro de la collection «Cheminements». Une étudiante en cotutelle (Université de Montréal et Université de Valenciennes et du Hainaut-Cambrésis, France), trois étudiants de l’Université Laval ainsi qu’une étudiante de l’Université de Sherbrooke et deux étudiants de l’Université du Québec à Trois-Rivières livrent ici les textes issus de leurs communications présentées lors des 21e et 22e colloques étudiants du CIEQ. Les actes qui en découlent rassemblent ainsi des articles qui, à travers des études variées portant sur les notions d’institutions, d’espace ou encore de discours, explorent l’expression de la culture québécoise. L’historiographie entourant la question de la formation élitaire à Joliette au XIXe siècle, la figure seigneuriale de Louis-Joseph Papineau, la construction et le financement des habitations lévisiennes au xxe siècle, l’évolution du domaine foncier des ursulines de Trois-Rivières, une étude comparative entre la vallée du Saint-Laurent et la vallée de l’Escaut pour comprendre la relation entre une société et son environnement fluvial, l’implantation de réseaux d’infrastructures urbaines à Drummondville au début du XXe siècle et, enfin, l’intégration des travailleurs immigrants dans le secteur sylvicole québécois sont les sujets des sept articles qui démontrent le dynamisme de la relève étudiante tout autant que la diversité des études scientifiques au CIEQ.

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: Other · Consensus signal: Other
Teacher disagreement score0.081
Threshold uncertainty score0.586

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0110.008
Scholarly communication0.0040.002
Open science0.0010.002
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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

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