The Valuable, the Constitutive, and the Energetic: Exploring the impact and importance of studying emotions and institutions
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.
Bibliographic record
Abstract
Emotions shape our lives and experiences as institutional actors, yet neo-institutional theorizing has paid scant attention to them until recently. In this introduction to the Special Themed Section, we explore why this blind spot has existed in past theorizing and aim to push scholarship further to elucidate the role that emotions play in institutional life. Drawing insights from the emerging literature and the four papers in this issue, we emphasize specific themes of interest for research on emotions and institutions. Specifically, we highlight the need for a focus on the role of emotions as: value-laden, constitutive of institutions, and energetic. We argue that foregrounding emotions promises a myriad of opportunities for future work and promises rich theoretical rewards.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it