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Record W2966846497

Policy Brief: Spousal Sponsorship and Conditional Permanent Residence

2016· article· en· W2966846497 on OpenAlexaboutno aff
Rupaleem Bhuyan, René Bogovic

Bibliographic record

VenueTSpace · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsResidenceImmigrationCitizenshipPolitical scienceFocus groupSubject (documents)SociologyLawLibrary scienceDemography
DOInot available

Abstract

fetched live from OpenAlex

This document contains two (2) policy briefs on the subject of Spousal Sponsorship. One from Jan 2016 and one from Nov 2016. These policy briefs present research on racial and gendered effects of conditional permanent residence (Conditional PR) and related policies that impact immigrants who are sponsored by their spouses or partners to immigrate to Canada. In this report, we focus on data that was retrieved from Citizenship and Immigration Canada for all sponsored spouses, common-law and conjugal partners between October 2012 and December 2014. Our research included conversations with front-line service providers, lawyers and immigrant advocates who were consulted through a series of community forums and individual interviews in Alberta and Ontario.

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)0.018
metaresearch head score (Gemma)0.054
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: Other · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.054
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0110.002
Scholarly communication0.0100.007
Open science0.0040.004
Research integrity0.0260.012
Insufficient payload (model declined to judge)0.0580.015

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 head0.028
GPT teacher head0.358
Teacher spread0.330 · 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
Published2016
Admission routes1
Has abstractyes

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