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Record W4224228856 · doi:10.1108/edi-04-2022-376

Guest editorial The benefits of inclusion: disability and work in the 21st century

2022· editorial· en· W4224228856 on OpenAlexafffund
Emile Tompa, Daniel S. Samosh, Alecia M. Santuzzi

Bibliographic record

VenueEquality Diversity and Inclusion An International Journal · 2022
Typeeditorial
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of TorontoInstitute for Work & Health
FundersUniversity of TorontoMcMaster UniversityNorthern Illinois University
KeywordsInclusion (mineral)Work (physics)GerontologyPsychologySociologyMedicineGender studiesEngineering

Abstract

fetched live from OpenAlex

The United Nations Convention on the Rights of Persons with Disabilities (CRPD) was adopted in 2006 with 82 nation signatories (United Nations, 2019). The purpose of the convention was to elaborate upon and codify the rights of persons with disabilities while setting a path for implementation of legislation, policies, programs and practices that ensure those rights are activated and maintained (United Nations, 2006). To date, over 160 nations have signed the convention (United Nations, 2019), indicating global interest in implementing legislation, regulations, policies and programs on the rights of persons with disabilities.

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)0.005
metaresearch head score (Gemma)0.024
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0040.002
Science and technology studies0.0040.003
Scholarly communication0.0090.006
Open science0.0030.002
Research integrity0.0150.018
Insufficient payload (model declined to judge)0.0290.018

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 head0.101
GPT teacher head0.391
Teacher spread0.290 · 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
GenreEditorial

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

Citations12
Published2022
Admission routes2
Has abstractyes

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