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Record W7094454873

Health Communication for Displaced Populations| Physician Advocacy in a “Culture of Disbelief”: A Critical-Interpretive Study of Asylum Medicine

2025· article· en· W7094454873 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldEngineering
TopicNanomaterials and Printing Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRefugeeScholarshipOpposition (politics)Objectivity (philosophy)PoliticsHuman rightsWitnessExpert witness
DOInot available

Abstract

fetched live from OpenAlex

Refugee studies scholarship has established that intense suspicion undergirds the process of refugee status determination, calling it, “a culture of disbelief.” Meanwhile, literature in medical anthropology has found that medical practitioners play a key role in the control and management of asylum seekers when they act as forensic evaluators. This study focuses on a group of physician advocates involved in a medical advocacy movement called Asylum Medicine (AM): an expert witness project that sits uncomfortably at the intersection of forensics and human rights. This article contributes to scholarship by revealing that the “culture of disbelief” extends onto medical authorities. Taking a critical-interpretive approach to health communication, I discuss how AM practitioners deploy a range of tactics including following legal scripts for objective behavior; anticipating opposition for their advocacy outside of expert-witness situations; and using the language of trauma and post-traumatic stress disorder as shorthand to expeditiously respond to legal scrutiny. In a culture of disbelief that places medical objectivity in opposition to political advocacy, such tactics help AM practitioners execute an ethical stance where medical objectivity is political advocacy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.140
GPT teacher head0.554
Teacher spread0.415 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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