MétaCan
Menu
Back to cohort
Record W6913016527 · doi:10.5683/sp3/ctco3u

Enquête sociale générale, Cycle 27, 2013 [Canada]: Identité sociale

2015· dataset· fr· W6913016527 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2015
Typedataset
Languagefr
Field
Topic
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsMeaning (existential)Context (archaeology)Identity (music)

Abstract

fetched live from OpenAlex

L’ESG de 2013 représente le troisième cycle de l’ESG servant à recueillir des données sur les réseaux sociaux et l’engagement social au Canada. Le cycle précédent de l’enquête était les réseaux sociaux, en 2008 et le premier était le l’engagement social, en 2003. L’ESG de 2013 a recueilli des renseignements auprès des Canadiens âgés de 15 ans et plus qui vivent dans des ménages privés, à l’exception des habitants du Yukon, des Territoires du Nord-Ouest et du Nunavut, de même que les résidents à plein temps d’établissements institutionnels. En plus du contenu habituel, l’ESG de 2013 était assortie de nouvelles questions sur la fierté, l'appréciation des symboles nationaux, et les valeurs partagées. Des renseignements ont également été recueillis sur l’activité principale du répondant, de même que sur les études, la religion, le revenu et d’autres caractéristiques sociodémographiques.

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)0.007
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.024
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.018
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.015

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 head0.017
GPT teacher head0.262
Teacher spread0.245 · 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
GenreDataset

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
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueBorealisFrench-language works237,207