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Record W4254579176 · doi:10.1504/ijhrdm.2019.097056

We do get terribly enthusiastic about everything! Performing emotion rules through parody

2018· article· en· W4254579176 on OpenAlex
Eeva Aromaa, Päivi Eriksson, Albert J. Mills

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

VenueInternational Journal of Human Resources Development and Management · 2018
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsSensemakingEnthusiasmLaughterAction (physics)Set (abstract data type)PsychologyCriticismPower (physics)Service (business)Social psychologyPublic relationsBusinessMarketingComputer sciencePolitical scienceArtLiterature

Abstract

fetched live from OpenAlex

This paper adopts a performational approach to critical sensemaking to explore how organisational members enact innovation-related emotion rules through the performance of parody. The approach was motivated more by induction than deduction. During an action-research study in a small service company, humour, teasing, and laughter occurred in a workshop organised for the company. On close examination of the videotaped workshop data, it was noticed that parodic performances were used to make critical sense of the innovation-related emotion rules and power relationships within the company. Analysis of this study shows in detail how, through parodic and imitative performances, the leader and employees constructed three emotion rules - show your emotions, show your enthusiasm, and show your criticism in a nice way - that are set by the leader to promote innovation practice within the company.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.023
GPT teacher head0.304
Teacher spread0.280 · 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