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Record W3008958110 · doi:10.26522/ssj.v13i2.1662

(Re)Constructing and Resisting Irregularity: (Non)citizenship, Canada’s Interim Federal Health Program, and Access to Healthcare

2020· article· en· W3008958110 on OpenAlexaffvenueabout
Laura Connoy

Bibliographic record

VenueStudies in Social Justice · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWestern University
Fundersnot available
KeywordsCitizenshipRefugeeInterimScholarshipHealth careState (computer science)SociologyPolitical sciencePublic relationsWitnessPublic administrationLawGender studiesPoliticsComputer science

Abstract

fetched live from OpenAlex

This article analyzes the experiences of refugee claimants in Toronto’s everyday healthcare places, like walk-in clinics, doctor’s offices, and hospitals, in the aftermath of the 2012 Interim Federal Health Program (IFHP) revisions. By drawing upon critical migration scholarship that prioritizes (non)citizenship, as well as semi-structured interviews, I highlight how the social positioning of refugee claimants is modulated in ways that justify and extend the IFHP revisions to effectively deny access to healthcare, demonstrating the indeterminacy of access. I understand this process through the concept of irregularity, a non-juridical status that is contingently configured and enforced by state and non-state actors when one is (re)constructed as “out of place,” hence limiting access to resources and rights. In accordance with citizenship, it indicates how we can think of the (re)fashioning of people and groups particularly within the everyday. I follow this with a critical analysis of the contestations that emerged to challenge the IFHP revisions

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.654
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

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

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 head0.173
GPT teacher head0.470
Teacher spread0.297 · 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.

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

Citations2
Published2020
Admission routes3
Has abstractyes

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