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Record W3116887091 · doi:10.15353/cjds.v8i4.531

Absence and Epidemic

2019· article· en· W3116887091 on OpenAlexaffvenueabout
Caleigh Inman

Bibliographic record

VenueCanadian Journal of Disability Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndigenousFetal Alcohol Spectrum DisorderColonialismCriminologySociologyAgency (philosophy)Gender studiesPolitical scienceSocial sciencePregnancyEcologyBiologyLaw

Abstract

fetched live from OpenAlex

This paper contemplates the absence of Indigenous perspectives within autism discourse in Canada, despite increasing concern and surveillance over a growing autism ‘epidemic.’ I posit that the simultaneous production of a fetal alcohol spectrum disorder (FASD) ‘epidemic’ among Indigenous populations contributes to this absence. Taking a genealogical approach to the emergence of FASD as a diagnostic framework, I situate the FASD ‘epidemic’ and subsequent prevention campaigns within a lineage of biopolitical strategies aimed at limiting the reproductive agency of Indigenous women. I argue that this phenomenon has two main consequences: first, the erasure of Indigenous autistics and a homogenization of Indigenous neurodiversity; and second, I claim that the association of FASD with Indigeneity converts the violent outcomes of settler colonialism into an embodied pathology, working to justify ongoing dispossession of land and resources from Indigenous people.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0220.021
Scholarly communication0.0100.006
Open science0.0020.016
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0110.000

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 head0.035
GPT teacher head0.341
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Disability Studies→Same topicIndigenous Health, Education, and Rights→French-language works237,207→