Softening‐Up Persistently Stubborn Institutional Stances in Net Zero Change Environments
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
ABSTRACT The decarbonization of the built environment remains a strategically important net zero pathway. Relative to other net zero pathways, the built environment persistently lags behind. To address this problem, we use the theoretical lens of institutional stance to enrich the understanding of the cognitive‐cultural foundations of institutions, in particular how entrusted institutional members hold, reflect and assert specific stances towards decarbonization of the built environment. In this institutional stance analysis, we identify three institutional change practices of nudging, tugging and mooring for softening‐up persistently stubborn stances in the pursuit of net zero goals. The findings point to mooring mechanisms which permit institutional members to ‘step out’ via temporal institutional respites , and subsequently reconciling these stances through the practice of satisficing , technology cycling and contrasting . Finally, conclusions and practical implications are presented for softening‐up persistently stubborn stances in prolongated net zero change environments.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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