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Record W2594197404 · doi:10.1002/hrm.21845

Disability status, individual variable pay, and pay satisfaction: Does relational and institutional trust make a difference?

2017· article· en· W2594197404 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

VenueHuman Resource Management · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsTrent UniversityYork University
Fundersnot available
KeywordsContext (archaeology)Multilevel modelBusinessWork (physics)Job satisfactionVariable (mathematics)Public relationsPsychologyMarketingSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Although prior research suggests that disabled employees have different needs in the context of some HRM practices, we know little about their reactions to reward systems. We address this gap in the literature by testing a model using the 2011 British Workplace Employee Relations Survey (disabled employees, n = 1,251; nondisabled employees, n = 9,959; workplaces, n = 1,806) and find that disabled employees report lower levels of pay satisfaction than nondisabled employees, and when compensated based on individual performance, the difference in pay satisfaction is larger. We suggest that relational (derived from trust in management) and institutional (derived from firm‐wide policies and HRM practices, both intended to provide equitable treatment to disabled employees) forms of trust play important roles. The results of multilevel analyses show that when trust in management is high, the difference in pay satisfaction under variable pay is reduced. We find just the opposite for employees who work in organizations with a formal disability policy but without supportive HRM practices; the gap in pay satisfaction is exacerbated. However, the combination of the presence of a firm‐wide policy and HRM practices reduced the difference in pay satisfaction. Implications of the findings for theory, future research, and management practice are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient 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 score0.243
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.245
Teacher spread0.221 · 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