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Record W2463763031 · doi:10.1177/0008417416638858

Occupational injustice: A critique

2016· article· en· W2463763031 on OpenAlexvenueno aff
Karen R. Whalley Hammell, Brenda L. Beagan

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsInjusticeOccupational scienceConfusionConstruct (python library)Economic JusticeEpistemologySociologyPsychologySocial psychologyPolitical scienceOccupational therapyLawPhilosophyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Although the idea of occupational injustice pervades the occupational therapy literature, there has been little scholarly debate concerning this construct or the parameters of the five identified forms of occupational injustice. PURPOSE: The aims of this paper are to highlight conceptual confusions, foreground some inherent questions that have been neither acknowledged nor addressed, and question the theoretical and practical utility of five manifestations of occupational injustice. KEY ISSUES: Few theorists have contributed to the occupational injustice literature. Significant definitional confusion exists concerning the five forms of occupational injustice with some forms described as subsets of others. The inherent problems of judging occupational injustice have not been addressed. IMPLICATIONS: If occupational injustice were understood as a violation of occupational rights-human rights to achieve well-being through occupation-many of the problems of identifying a situation of occupational justice or injustice would be resolved. Using the capabilities approach to human rights would facilitate this endeavour.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.324
GPT teacher head0.550
Teacher spread0.226 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations61
Published2016
Admission routes1
Has abstractyes

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