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Record W2141999035 · doi:10.1287/orsc.1110.0735

A Field Investigation of Multilevel Cynicism Toward Change

2012· article· en· W2141999035 on OpenAlex
Katherine A. DeCelles, Paul E. Tesluk, Faye S. Taxman

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 Science · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCynicismTransformational leadershipPerspective (graphical)PsychologyMultilevel modelField (mathematics)Organisation climateSocial psychologyOrganizational changePublic relationsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Although most research on cynicism toward change (CTC) has been conceptualized at the individual level, we propose that CTC is better conceptualized as a multilevel phenomenon, acting as both an employee attitude and an organizational climate. We conducted a multilevel investigation of CTC in a field sample of 687 correctional officers in the 14 prisons in a state penal system. Consistent with our hypotheses, both employee CTC and CTC climate uniquely predicted negative employee attitudes and behaviors directed at the organization. Offering insight into how to address CTC, we found that transformational leadership negatively relates to employee CTC and CTC climate. Our results highlight the importance of studying CTC in organizations from a multilevel perspective and suggest that transformational leadership is significant for supporting both functional employee attitudes and a facilitative climate toward organizational change.

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)0.001
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 score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.272
Teacher spread0.209 · 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