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Advances in the Treatment of Context in Organizational Research

2017· article· en· W2625889787 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

VenueAnnual Review of Organizational Psychology and Organizational Behavior · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsConcordia UniversityUniversity of British Columbia
Fundersnot available
KeywordsContext analysisContext (archaeology)Organizational studiesOrganizational behaviorTheme (computing)Contextual designOrganizational learningPersonalityPsychologyOrganization developmentSociologySocial psychologyKnowledge managementOrganizational commitmentComputer scienceGeographyArtificial intelligence

Abstract

fetched live from OpenAlex

Although scholars in the field of organizational behavior have raised concerns about a lack of contextual appreciation, there has been a recent embrace of contextual thinking in the organizational sciences. In this review, I discuss several recent theories and measures of context. The added value of a contextual approach is illustrated by how context can shape personality, how it affects the emergence of work designs, and how it benefits the study of organizational demography. Future research topics include context cue sensitivity, the way context is shaped, the mediators of context effects, and the breadth and limits of contextual impact. A recurrent theme is that although context enables a demarcation of what is distinctive about situations, it also permits integration across research areas and levels of analysis, identifying what they have in common as settings for organizational behavior.

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)0.001
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 score0.170
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.043
GPT teacher head0.398
Teacher spread0.355 · 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