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Record W4403185478 · doi:10.1007/978-3-031-69808-8_9

Accommodating Vulnerable Claimants in the Refugee Hearing: The Canadian Example

2024· book-chapter· en· W4403185478 on OpenAlexaffabout
Anna Lise Purkey, Delphine Nakache, Biftu Yousuf, Christiana Sagay

Bibliographic record

VenueIMISCOE research series · 2024
Typebook-chapter
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsUniversity of OttawaUniversity of Waterloo
Fundersnot available
KeywordsRefugeeAudiologyPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

Abstract The Canadian protection regime has made many positive steps towards the recognition of migrant vulnerability. For example, Chairperson’s Guideline 8 from the Immigration and Refugee Board (IRB) was developed in 2006 (and subsequently revised over the years) to assist Canadian decision-makers to provide procedural accommodation(s) (e.g., priority processing of application, allowing a support person, or varying the order of questioning—accommodations that impact the process of the hearing, not the substantive outcome) for vulnerable individuals who are going through Canada’s inland refugee determination process. However, as is discussed in this chapter, our research found that practitioners, and even civil servants, have mixed perspectives on the success of translating this awareness into effective action. Despite these developments, refugee claimants are facing several challenges in asserting or ‘proving’ vulnerability and thus eligibility for procedural accommodation. Of particular concern is the difficulty with accessing psychological assessments for psychologically vulnerable asylum seekers and their inconsistent consideration by decision makers. Another key concern is the discretion exercised by decision-makers, both in terms of acknowledging vulnerability and in terms of determining what, if any, procedural accommodations are appropriate. While recent changes to Guideline 8 suggest a desire to address some of the challenges presented here, it remains to be seen whether this effort will be successful.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.820
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.014
Insufficient payload (model declined to judge)0.0010.001

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 head0.470
GPT teacher head0.545
Teacher spread0.075 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2024
Admission routes2
Has abstractyes

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