Perceiving Agency in Sustainability Transitions: A Case Study of a Police-Hospital Collaboration
Bibliographic record
Abstract
This paper explores how agency was used within a police-hospital collaboration to implement a planned change designed to increase the sustainability of a cross-sector collaboration. A longitudinal, qualitative case study involving pre-and-post interviews with 20 police officers and 20 healthcare workers allowed us to capture multiple perspectives of the planned change over time. Analysis of case study data reveals three major findings: (1) organizations with limited power can have agency in cross-sector collaborations when they are perceived to have legitimacy and urgency; (2) the extent to which the implementation of a planned change influences perceptions of agency depends on the organizational context of the perceiver; and (3) different levels of analysis (i.e., meso versus micro) support different conclusions with respect to the role of agency in the sustainability transition process. More broadly, our study highlights the role of perception when investigating agency within sustainability transitions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.015 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".