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Record W7071313567

SOCIÉTÉS, POPULATIONS ET TERRITORIALITÉ Actes des 15e et 16e colloques étudiants du CIEQ

2012· book· fr· W7071313567 on OpenAlexfundaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2012
Typebook
Languagefr
FieldComputer Science
TopicQR Code Applications and Technologies
Canadian institutionsnot available
FundersUniversité du Québec à Trois-RivièresUniversité Laval
KeywordsContext (archaeology)ESPACEIdentity (music)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

Afin de diffuser les réflexions et les résultats des recherches de ses étudiants membres, le Centre interuniversitaire d’études québécoises (CIEQ) vous présente un nouveau numéro de la collection « Cheminements ». Trois étudiantes et étudiants de l’Université Laval, ainsi que quatre de l’Université du Québec à Trois-Rivières livrent ici les textes issus de leurs communications présentées lors des 15e et 16e colloques étudiants du CIEQ. Le corpus rassemble des articles qui, à travers des études variées portant sur les notions d’institution, d’espace ou encore de discours, explorent l'expression de la culture québécoise.\nLa problématique des glaces dans l'aménagement du fleuve Saint-Laurent, l'ambiguïté du territoire de la mission illinoise dans le conflit de juridictions des Tamarois, les questions du genre, de la sexualité et du marché dans les familles rurales, le rapport à l'écrit d'élèves québécoises de la 4e année du secondaire, la « révolution des droits » au Québec et la fiction cinématographique québécoise et la notion de mémoire sont les sujets des sept articles qui démontrent le dynamisme de la relève étudiante tout autant que la diversité des études scientifiques du CIEQ.\n\nOnt contribué à cet ouvrage\nFrançois Antaya, Isabelle Bouchard, Marilyne Brisebois, Rachel Caux, Amina El Bakkar, Claire Portelance, Paul-Étienne Rainville

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)0.008
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: none
Teacher disagreement score0.861
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0070.006
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.060
GPT teacher head0.291
Teacher spread0.231 · 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
Published2012
Admission routes2
Has abstractyes

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