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Record W2081200868 · doi:10.1177/0170840605056397

Organizational Citizenship Behaviour as Performance in Multiple Network Positions

2006· article· en· W2081200868 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

VenueOrganization Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsConcordia University
Fundersnot available
KeywordsGroup cohesivenessCentralityPosition (finance)Organizational citizenship behaviorCitizenshipStructural holesSociologySocial psychologySocial network analysisNetwork structurePsychologyBusinessPolitical scienceSocial capitalComputer scienceOrganizational commitmentLawSocial scienceMathematics

Abstract

fetched live from OpenAlex

This paper employs structural role theory to theorize why and how the performance of organizational citizenship behaviour (OCB) may be associated with an individual's occupation of social network positions. OCB is modelled as behaviour related to the occupation of position–role combinations in the informal structure of organizations. It is proposed that the performance of OCB occurs in conjunction with informal role enactment at a given network position because such performance is characteristic of position occupancy. A given actor may occupy multiple network positions, which profile the actor's links to the informal organization and place him or her in the position to perform OCB. An empirical study of employees in a telecommunications company showed that cohesiveness, centrality and network bridges predict two different types of OCB that characterize a ‘good colleague’ and a ‘good employee’ role.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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