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Record W4210268434 · doi:10.1177/03128962211073021

The importance of relational work design characteristics: A person-centred approach

2022· article· en· W4210268434 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

VenueAustralian Journal of Management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsMount Royal University
FundersAustralian Research Council
KeywordsAutonomySupervisorWorkloadSocial psychologyProsocial behaviorBeneficiaryWork (physics)PsychologyTask (project management)BusinessManagementEconomicsEngineeringFinancePolitical science

Abstract

fetched live from OpenAlex

Adopting a person-centred approach, we integrate the job demands-control-support model with relational work design theory to investigate employee work design profiles involving autonomy, workload, social support and prosocial characteristics (representing the combined influence of task significance and beneficiary contact). For a sample of Australian not-for-profit employees ( N = 2421), we identified four work design profiles: ‘active connected’, ‘passive disconnected’, ‘high strain disconnected’ and ‘controlled disconnected’. The most favourable profile, active connected, demonstrated the highest vigour and social worth, and was predicted by people being in higher managerial positions and having permanent employment contracts. The high strain disconnected and controlled disconnected profiles were associated with greater psychological exhaustion. Longer working hours predicted membership of the high strain disconnected profile. JEL Classification: L31, L30, L20, L29

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)0.001
metaresearch head score (Gemma)0.000
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 score0.135
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.058
GPT teacher head0.229
Teacher spread0.171 · 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