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Record W2977377824 · doi:10.1111/joms.12535

Preserving a Professional Institution: Emotion in Discursive Institutional Work

2019· article· en· W2977377824 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

VenueJournal of Management Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRhetorical questionArgument (complex analysis)UnpackingInstitutionArgumentation theoryInstitutional theorySociologyWork (physics)Discourse analysisField (mathematics)Social psychologyPublic relationsPsychologyPolitical scienceEpistemologySocial scienceLinguisticsMedicine

Abstract

fetched live from OpenAlex

Abstract We studied the discursive institutional work written by pharmacy leaders as part of a larger institutional project to preserve the institution of pharmacy. Our analysis of monthly editorials printed in the Journal of the American Pharmacists Association from 1960 to 2003 shows how different discrete emotions were systematically incorporated in specific rhetorical argument structures over the course of an institutional project. In contrast to previous research, we show how discursive institutional work that is directed to members of the same specific social group (e.g., a profession) can vary over time in response to significant events and changes in practices of the target audience. Our longitudinal study shows that the relative frequency of argument types, the incorporation of emotion, and the content of rhetorical argumentation changed over time. We contribute to theory about the role of emotions in discursive institutional work by unpacking the role of discrete emotions and showing how such discourse evolves over time in concert with field conditions.

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: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.682

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.033
GPT teacher head0.303
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