MétaCan
Menu
← Back to cohort
Record W4384129388 · doi:10.32920/23681376

Legacy Refugee Claimants in Canada: Integration and Substantive Citizenship Within a Liminal Space

2023· preprint· en· W4384129388 on OpenAlexaffabout
Mariya Postelnyak

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsLiminalityCitizenshipRefugeeForegroundingPolitical scienceGender studiesPlaintiffSociologyNarrativeLawPoliticsAnthropology

Abstract

fetched live from OpenAlex

In 2012, during a period of refugee policy reform in Canada, nearly 32 000 asylum claimants were pushed behind in the waitlist to finalize their claim (Refugee Board of Canada, 2019). Refugee claimants who had arrived prior to enacted changes found themselves suspended within a state of undetermined status. This group, acquiring the title of ‘legacy claimants’, was faced with establishing life in Canada inside a zone of ‘liminality’, that is, “between recognized fixed points in space-time of structural classification†(Turner 1967, p. 96; Menjivar, 2003, p. 1007). This study seeks to explore how the obstacles faced by legacy claimants due to undetermined status impact integration and substantive citizenship. The research goals are met through a narrative analysis of legacy claimant experiences using the lens of social constructivism and by foregrounding the zone of ‘liminal legality’ as both restrictive and conductive to new forms of inclusion and citizenship (Menjivar, 2006). Key words: Refugees; citizenship; liminality; substantive citizenship; narrative analysis

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.584

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0380.022
Scholarly communication0.0100.003
Open science0.0020.010
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.054
GPT teacher head0.308
Teacher spread0.254 · 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 designQualitative
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
Published2023
Admission routes2
Has abstractyes

Explore more

Same topicMigration, Refugees, and Integration→French-language works237,207→