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Record W4309505010 · doi:10.32920/21596154

Commentary: Shapes and Sites of Deaf People’s Transinstitutionalization

2022· preprint· en· W4309505010 on OpenAlexaffabout
Kristin Snoddon, Joanne Weber

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDeaf educationInstitutionalisationSign languageMainstreamVitalitySign (mathematics)PsychologyPerspective (graphical)Sociolinguistics of sign languagesDeaf culturePedagogySociologyLinguisticsManually coded languagePolitical scienceComputer science

Abstract

fetched live from OpenAlex

This commentary describes our perspective on transinstitutionalization as deaf teachers and researchers from different regions of Canada, and accounts for some of the ways in which transinstitutionalization manifests in the lives of deaf people, particularly in educational settings. In the present day, so-called inclusive education is often presented as the progressive alternative to institutionalization, or deaf schools. However, mainstream education in regular settings without adequate sign language support and the continuing polarization of language and identity options for deaf children are two of the main ways in which transinstitutionalization recurs for deaf children and adults and threatens the vitality of sign languages.

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)0.027
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.256
Threshold uncertainty score0.510

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0160.021
Scholarly communication0.0060.005
Open science0.0040.003
Research integrity0.0350.035
Insufficient payload (model declined to judge)0.0070.003

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 head0.049
GPT teacher head0.343
Teacher spread0.294 · 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
GenreCommentary

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
Published2022
Admission routes2
Has abstractyes

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