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Record W2510715962 · doi:10.1017/jmo.2016.5

What about ‘MEE’: A Measure of Employee Entitlement and the impact on reciprocity in the workplace

2016· article· en· W2510715962 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 Management & Organization · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEntitlement (fair division)Reciprocity (cultural anthropology)Measure (data warehouse)Test (biology)Scale (ratio)PsychologyPsychological contractSocial psychologyBusinessActuarial scienceEconomicsMicroeconomicsComputer science

Abstract

fetched live from OpenAlex

Abstract A basic underlying assumption of the psychological contract is that both parties come to a mutual agreement about the expectations and obligations of a contract of employment. Recent research provides evidence of the potential for employees to develop unrealistic expectations from this contract and this has been described as a sense of entitlement. In this article, we outline two studies. In the first study, we test the internal structure and reliability of a scale we developed and named the Measure of Employee Entitlement. In the second study, we test the predictive validity of the Measure of Employee Entitlement against a measure of reciprocity. The development and validation of the Measure of Employee Entitlement extends our knowledge of sense of entitlement in the workplace and situates entitlement as a factor that may impact on the development of psychological contracts. This research provides a platform from which researchers and practitioners can continue to coherently and consistently investigate the phenomenon of employee entitlement.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.518

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.239
Teacher spread0.229 · 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