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Record W4403889153 · doi:10.4324/9780429324604-27

Inclusion without access

2024· book-chapter· en· W4403889153 on OpenAlexaboutno aff
Elaine Cagulada, Tanya Titchkosky

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)PsychologySocial psychology

Abstract

fetched live from OpenAlex

D/deaf, DeafBlind, and Hard of Hearing (HOH) people are arrested and incarcerated at surprisingly high rates. They are included in criminal justice systems of arrest and incarceration while excluded from its typical protocols of communication, which assumes non-disability as the norm and represents a cultural contradiction in need of examination. From a critical disability studies perspective, we aim to reveal the version of deafness and disability implicitly reflected by this cultural contradiction across regions in Canada. We analyse visor identification cards that are said to be designed to assist police officers and D/deaf and HOH people communicate more effectively, treating such practices as stories. Our chapter reveals the taken-for-granted sense of problem and solution that these practices serve and protect by asking, how does the criminal justice system continue to produce inclusion without access, what version of police power does this sustain, and what versions of deafness and disability are implicated in the design and use of visor cards?

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)0.001
metaresearch head score (Gemma)0.005
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.115
Threshold uncertainty score0.385

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0070.006
Scholarly communication0.0110.007
Open science0.0020.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1150.052

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 head0.078
GPT teacher head0.447
Teacher spread0.369 · 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
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 routes1
Has abstractyes

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