MétaCan
Menu
Back to cohort
Record W7094532926

9780472900725.pdf

2021· other· en· W7094532926 on OpenAlexfundno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2021
Typeother
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
FundersUniversity of California, DavisCouncil of Ontario UniversitiesUniversity of MinnesotaHarvard UniversityRensselaer Polytechnic InstituteNorth Carolina State UniversityUtah State UniversityOhio State UniversityState University of New YorkNational Council on DisabilityArchitectural League of New York
KeywordsAbleismAntithesisDisability discriminationDiversity (politics)Higher educationDisability studiesValue (mathematics)Learning disabilityPopularity
DOInot available

Abstract

fetched live from OpenAlex

Academic Ableism brings together disability studies and institutional critique to recognize the ways that disability is composed in and by higher education, and rewrites the spaces, times, and economies of disability in higher education to place disability front and center. For too long, argues Jay Timothy Dolmage, disability has been constructed as the antithesis of higher education, often positioned as a distraction, a drain, a problem to be solved. The ethic of higher education encourages students and teachers alike to accentuate ability, valorize perfection, and stigmatize anything that hints at intellectual, mental, or physical weakness, even as we gesture toward the value of diversity and innovation. Examining everything from campus accommodation processes, to architecture, to popular films about college life, Dolmage argues that disability is central to higher education, and that building more inclusive schools allows better education for all.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.140
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8600.809

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 head0.022
GPT teacher head0.290
Teacher spread0.268 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOAPEN (The OAPEN Foundation)Same topicPrenatal Screening and DiagnosticsFrench-language works237,207