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Record W2954409082 · doi:10.5465/amd.2018.0037

“It’s not all Puppies and Sunshine”: Veterinary Workers’ Emotional Comfort Zones and Companion Animal Euthanasia

2019· article· en· W2954409082 on OpenAlex
David R. Hannah, Kirsten Robertson

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 Discoveries · 2019
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsUniversity of the Fraser ValleySimon Fraser University
Fundersnot available
KeywordsFeelingPsychologyCompanion animalShock (circulatory)Emotional laborEmotional stressOrder (exchange)Social psychologyMedicineBusinessPsychotherapist

Abstract

fetched live from OpenAlex

In order to generate knowledge about how workers react to intensely emotional workplace experiences, we conducted 54 interviews with employees at five veterinary clinics, focusing on the task of companion animal euthanasia. Although many veterinary workers struggle to cope with the intense emotions of euthanasia early in their careers, over time they learn about their personal preferences for feeling and expressing emotion during euthanasia. We term these preferences for emotional experience “emotional comfort zones.” These comfort zones vary from worker to worker, with some preferring to be more immersed in the intense emotions of euthanasia and others more detached. Further, workers learn how to regulate their emotions in order to stay within their comfort zones, sometimes aided by aspects of the situation such as routines, but also sometimes hindered by events that can “pull” or “shock” workers into uncomfortably intense, unwanted emotions. We explain how these and other findings contribute to improved understanding of how workers manage intense emotions at work, and present implications for managers and employees.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.836

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 head0.089
GPT teacher head0.359
Teacher spread0.270 · 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