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Record W2292589509

Prestations d'aide sociale chez les demandeurs du statut de refugie au Canada : donnees tirees de fichiers de donnees administratives couples

2015· preprint· fr· W2292589509 on OpenAlexaboutno aff
Grant Schellenberg, Yuqian Lu, Marc Frenette

Bibliographic record

VenueRePEc: Research Papers in Economics · 2015
Typepreprint
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPopulationResidenceSociologyArtDemography
DOInot available

Abstract

fetched live from OpenAlex

Les demandeurs du statut de refugie ou demandeurs d'asile representent une part importante de la population de residents non permanents du Canada. Le Canada a accorde la residence permanente a environ 12 000 a 16 000 refugies chaque annee au cours de la deuxieme moitie des annees 2000, et environ 115 000 a 130 000 demandeurs d'asile residaient au Canada a un moment ou a un autre chaque annee au cours de cette periode. En depit du volume de demandeurs d'asile, on savait tres peu de choses au sujet des caracteristiques economiques de ces personnes jusqu'à maintenant. Le present rapport utilise de nouveaux fichiers de donnees administratives couples pour fournir des renseignements sur le versement de prestations d'aide sociale (AS) dans cette population. l'etude a permis de coupler environ les trois quarts de tous les demandeurs d'asile a des fichiers administratifs comprenant des renseignements sur le versement annuel de prestations d'AS.

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)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.012
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.068
GPT teacher head0.363
Teacher spread0.295 · 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 designObservational
Domainnot available
GenreEmpirical

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 routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicMigration, Identity, and HealthFrench-language works237,207