MétaCan
Menu
Back to cohort
Record W4404205611 · doi:10.1007/978-3-031-74866-0_7

Identifying Criteria for Complementary Pathways to Provide Sustainable Solutions for Refugees: Two Canadian Case Studies

2024· book-chapter· en· W4404205611 on OpenAlexaboutno aff
Roberto Cortinovis, Andrew Fallone

Bibliographic record

VenueInternational perspectives on migration · 2024
Typebook-chapter
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeGeographyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Abstract This chapter provides critical insights on the main features and implementation dynamics of two Canadian policy instruments falling within the scope of complementary pathways of admission for refugees: the well-established Private Sponsorship of Refugees (PSR) program, a key component of Canada’s refugee resettlement since the late 1970s, and the Economic Mobility Pathways Pilot (EMPP), an initiative launched in 2018 to enable the resettlement of a relatively small but growing number of refugees through Canada’s existing labour migration channels. The analysis aims to identify a set of normative criteria to assess those two pathways’ alignment with international refugee, human rights and labour law standards. It pays specific attention to aspects of equitable access and procedural fairness in the design and implementation of complementary pathways, including the possibility for refugees to exercise their agency and autonomy when accessing and navigating those programmes. Crucially, the chapter discusses which legal and policy adjustments are needed to ensure that Canadian pathways—as well as similar admission instruments developed elsewhere—not only create safe entry channels for refugees additional to resettlement, but also provide them a clear path towards achieving a durable solution.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.312
GPT teacher head0.527
Teacher spread0.215 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational perspectives on migrationSame topicFood Security and Health in Diverse PopulationsFrench-language works237,207