MétaCan
Menu
Back to cohort
Record W2787274280 · doi:10.4000/books.pum.5403

Chapitre 3. Mère et sans-papiers au Québec

2014· book-chapter· fr· W2787274280 on OpenAlexaffabout
Alexandra Ricard-Guay, Jill Hanley, Catherine Montgomery, Francesca Meloni, Cécile Rousseau

Bibliographic record

VenuePresses de l’Université de Montréal eBooks · 2014
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsUniversité de MontréalInstitut de Recherche Sur L’Intégration Professionnelle des Immigrants
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

La préoccupation liée à une augmentation du tourisme médical périnatal a ressurgi dans le débat politique et médiatique au cours des dernières années. Le gouvernement Harper propose d’étudier la possibilité de modifier les règles de citoyenneté afin de contrer le phénomène de « tourisme obstétrique », soit lorsque des femmes enceintes provenant d’autres pays viennent au Canada dans le but d’accoucher et d’offrir la citoyenneté canadienne à leur enfant. Or, derrière ce discours alarmiste qui r...

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)0.000
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 score0.052
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.003
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.014
GPT teacher head0.223
Teacher spread0.209 · 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

Citations2
Published2014
Admission routes2
Has abstractyes

Explore more

Same venuePresses de l’Université de Montréal eBooksSame topicMigration, Identity, and HealthFrench-language works237,207