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Record W2575708842 · doi:10.5465/amr.2016.0223

Beyond Ethos: Outlining an Alternate Trajectory for Emotional Competence and Investment

2017· article· en· W2575708842 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 · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsYork UniversityUniversity of Alberta
Fundersnot available
KeywordsEthosSociologyCompetence (human resources)LegitimacyManagementPublic relationsPoliticsSocial psychologyPsychologyPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

The paper by Voronov and Weber (2016) moves this conversation to a higher level, theorizing beyond the simple (though important) idea that emotions occur and matter in social life, to a more fundamental engagement of emotions as a defining aspect of "institutional actorhood".We start by acknowledging the important contribution provided by the paper with its compelling introduction of the ideas of "emotional competence" and "emotional investment".Emotions, Voronov and Weber argue, are "institutionally conditioned and thus endogenous to institutional orders" (2016: 5), and emotional competence enables people to perform prescribed roles and inhabit institutional orders.Such competence leads to emotional investment.Voronov and Weber argue that "institutional ethos" is the basis of emotional competence.We take issue with this characterization of ethos and its relationship to the ideas of emotional competence and investment.For us, the ethos concept is confusing and, perhaps more importantly, unnecessarily detached from more established concepts in the institutional literature.This detachment not only adds to the "conceptual muddle" (Colyvas & Jonsson, 2011: 27) of institutional theorizing, but risks undermining the important contribution that emotional competence might make if linked to a more fruitful avenue of future research.We suggest an alternative framing -namely, connecting emotional competence to the more established concept of "institutional logic".Doing so connects emotional competence and emotional investment to the values that are embedded within institutional logics (Dunn & Jones, 2010;

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.795

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.059
GPT teacher head0.314
Teacher spread0.255 · 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