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Record W2903195860 · doi:10.15353/cjds.v7i3.452

Stereotyping and Stigmatising Disability: A Content Analysis of Canadian Print News Media About Fetal Alcohol Spectrum Disorder

2018· article· en· W2903195860 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Disability Studies · 2018
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsMcGill UniversityDouglas CollegeUniversité de MontréalMontreal Clinical Research Institute
FundersCanadian Institutes of Health ResearchKids Brain Health NetworkMcGill University
KeywordsShameBlameFetal Alcohol Spectrum DisorderStigma (botany)NewspaperPsychologyNarrativeFetal alcoholContent analysisMedia coveragePsychiatrySocial psychologyPregnancySociologyMedia studies

Abstract

fetched live from OpenAlex

People with fetal alcohol spectrum disorder (FASD), a complex and controversial neurodevelopmental disability caused by alcohol exposure in the womb, report experiences of stigma in different parts of their lives. The media, sometimes central to how a public understands and constructs marginalized identities, have a notable history of poorly representing people with disabilities like FASD (including in Canada), which could increase their stigmatisation. Additionally, given its cause, women who drink while pregnant can also face stigmatisation – with some public discourses evoking narratives that promote blame and shame. To gain insight into the kinds of information presented to Canadians about FASD, alcohol, and pregnancy, we conducted a media content analysis of 286 articles retrieved from ten of the top Canadian newspapers (2002-2015). In this article, we report key themes we identified, most common being ‘crime associated with FASD’. We explore connections between this coverage, common disability stereotypes (i.e., criminal behaviour and ‘the villain’), FASD stigma, and expectations of motherhood.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
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 head0.072
GPT teacher head0.307
Teacher spread0.235 · 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