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Record W2324740085 · doi:10.1037/mil0000012

The Dimensionality of Contextual and Citizenship Performance in Military Recruits: Support for Nine Dimensions Using Self-, Peer, and Supervisor Ratings

2013· article· en· W2324740085 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMilitary Psychology · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOrganizational citizenship behaviorSupervisorPerspective (graphical)PsychologyExtant taxonConfusionSocial psychologyCitizenshipCLARITYApplied psychologyComputer sciencePolitical scienceArtificial intelligenceOrganizational commitmentLaw

Abstract

fetched live from OpenAlex

Organizational Citizenship Behavior and Contextual Performance make up a domain that can be referred to as Contextual and Citizenship Performance (CCP). CCP is essential to assess and promote in military and civilian organizations because it defines the “good soldier” prototype. Unfortunately, extant research has led to confusion as to whether CCP consists of one, two, three, six, or nine dimensions. We shed new light on the composition of CCP by evaluating one-, two-, three-, six-, and nine-dimensional theoretical models using supervisor, self-, and peer ratings of military recruits undergoing basic training. We employed Relative Percentile Method ratings to improve distinctions among ratees when the level of CCP is high. Contrary to much recent literature, our results supported a nine-dimensional theoretical model in all three rating sources. Thus, conceptualizing, assessing and promoting the proverbial “good soldier” may require a more highly nuanced perspective of CCP than is generally acknowledged.

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 score0.009
Threshold uncertainty score0.480

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)0.0000.000

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 head0.035
GPT teacher head0.286
Teacher spread0.250 · 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