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Record W4221057688 · doi:10.26522/ssj.v16i2.2664

Representations of Autism in Ontario Newsroom: A Critical Content Analysis of Online Government Press Releases, Media Advisories, and Bulletins

2022· article· en· W4221057688 on OpenAlexafffundvenueabout
Margaret Janse van Rensburg

Bibliographic record

VenueStudies in Social Justice · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsCarleton University
FundersMinistry of Colleges and UniversitiesMinistero dello Sviluppo Economico
KeywordsAutismGovernment (linguistics)Social mediaContent analysisNormativeSociologyPerceptionDisability studiesPsychologyPublic relationsPolitical scienceSocial scienceGender studiesDevelopmental psychologyLaw

Abstract

fetched live from OpenAlex

In Ontario, Canada, autism has become widely politicized. In the last 20 years, instances of personal and organizational advocacy developed into wider-scale policy and programs. Government press releases indicate Ontario’s developing response to autism as a social policy issue, while reflecting societal perceptions and priorities surrounding autism. Informed by Critical Disability Studies and Critical Autism Studies, this article uses a content analysis to explore the manifest and latent priorities of Ontario’s provincial government displayed in press releases between 2001-2019 accessed through the Ontario Newsroom, an online repository of press releases and media advisories that features different initiatives published by the government of Ontario. Press releases were selected based on the search term “autism” and analyzed in two steps. First, this article presents the most frequently used words in press release headlines. Second, key themes within press releases are explored. Press releases emphasize the stories of non-autistic people, altruists, positivists, treatment-seekers, autistic children, and normative families. What is left out is a social representation of autism. Prominent themes display ableist perceptions of autism, reproducing power imbalances and inequity based on disability and family status. These findings reveal government objectives and priorities, reflecting broader societal perceptions of autism.

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)0.002
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 score0.480
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.142
GPT teacher head0.414
Teacher spread0.272 · 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

Citations5
Published2022
Admission routes4
Has abstractyes

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