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Record W2262873433 · doi:10.5465/amr.2013.0458

The Heart of Institutions: Emotional Competence and Institutional Actorhood

2015· article· en· W2262873433 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

VenueAcademy of Management Review · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsCompetence (human resources)ManagementPsychologySociologySocial psychologyBusinessBusiness administrationPublic relationsPolitical scienceEconomics

Abstract

fetched live from OpenAlex

We develop the concept of emotional competence, which refers to the ability to experience and display emotions that are deemed appropriate for an actor role in an institutional order. Emotional competence reveals a more expansive view of emotions in institutional theory, where emotions are central to the constitution of people as competent actors and lend reality and passionate identification to institutions. We distinguish two facets of emotional competence—private, which is needed to engage in self-regulation, and public, which is needed to elicit other-authorization—and two criteria for assessing emotional competence—the deemed naturalness and authenticity of emotions within an institutional order. These distinctions delineate four processes through which emotional competence ties personal experience and social performance to fundamental institutional ideals, the institution’s ethos. We discuss theoretical and methodological implications of this model for researching institutional processes.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.069
GPT teacher head0.290
Teacher spread0.221 · 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