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Record W1937653154 · doi:10.7202/016956ar

Psychological Contract and Quality of Organizational Life

2008· article· en· W1937653154 on OpenAlexvenueno aff
Martina Battisti, Franco Fraccaroli, Rino Fasol, Marco Depolo

Bibliographic record

VenueRelations industrielles · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological contractOrganizational justicePerceptionAmbiguityFlexibility (engineering)Organizational commitmentPsychologyEmployee researchSocial psychologyBusinessManagementEconomics

Abstract

fetched live from OpenAlex

This study assesses psychological contract using a feature-oriented approach which measures perceptions about employer and employee obligations along the dimensions of duration, tangibility, scope, stability/flexibility, contract level and exchange symmetry. Questionnaires were administered to 170 workers (23 males, 147 females) employed at a rest home in Northern Italy. The results confirm the hypothesized relation between the employee’s perceptions of employer obligations and the organizational role component of organizational life (in terms of low role ambiguity and high development expectations). Similarly, the hypothesized relation between the employee’s perceived obligations to the employer and the affective and motivational area is supported (in terms of affective commitment and perceived organizational justice). The results also show the importance of assessing the employee’s perceptions both of employer obligations and of her/his own obligations to the employer, considering the differentiated influence that each of them has on organizational life.

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)0.000
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 score0.109
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.069
GPT teacher head0.288
Teacher spread0.219 · 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

Citations18
Published2008
Admission routes1
Has abstractyes

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