From Issues to Actions: The Importance of Individual Concerns and Organizational Values in Responding to Natural Environmental Issues
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
In this research, we traced the development of natural environmental issues in two organizations in real time over the period of a year. Participant observations, discussions with organizational members, and corporate documents yielded insights used to develop a model describing issue flows in both organizations. With this model, we identified the factors that influenced the scope, scale, and speed of organizational response to issues. Our methods provided insights into why issues generated organizational responses and also why they did not. Two factors appeared to be critical in explaining organizational responses to issues: individual concerns and organizational values. Individual concerns gave rise to an issue champion or seller. An issue consistent with organizational values was perceived as strategic. These were necessary conditions; without either condition, the issue would not be resolved. It is argued further that individual discretion and excess resource slack will moderate the relationship between these direct effects and the scope, scale, and speed of organizational response. The framework that emerged from the data is conveyed through a set of four propositions.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| 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) | 0.001 | 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