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Record W4387261324 · doi:10.3109/13668250.2023.2249276

The relationship of productivity-based wages to human rights and occupational justice – an exploratory study

2023· article· en· W4387261324 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Intellectual & Developmental Disability · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsQueen's University
FundersAssociation of Commonwealth Universities
KeywordsIntellectual disabilityContext (archaeology)Economic JusticePublic relationsEquity (law)StakeholderProductivityPsychologyBusinessPolitical scienceEconomicsEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: Productivity-based wage systems are intended to enhance the labour market participation of people with disabilities. Limited scholarship exists regarding the impact of such policies in practice. This qualitative study explored stakeholder perspectives on the Australian Supported Wage System (SWS), including perceptions of fairness and equity. METHODS: Document review provided context and background for the study. 14 semi-structured interviews were subsequently conducted with a range of stakeholders with knowledge of the SWS. RESULTS: Four primary themes were identified, related to assessment processes, value contributions of the system, practice risks and challenges, and ethical tensions. CONCLUSIONS: The SWS appears to enhance worker choice and inclusion. A variety of factors may reduce the quality of these outcomes, however, and employment systems should support a range of evidence-informed approaches to ensure equitable employment outcomes.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.136
GPT teacher head0.411
Teacher spread0.275 · 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