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
This paper considers corporate water risk from the perspective of company disclosure. An empirical study, it reviews 6 years’ disclosure for 58 companies in the global consumer staples sector. Drawing on a conceptual framework of institutional theory and resource dependence, it examines the disclosed yardsticks by which multinational companies measure their management of water risk. The first empirical study of its kind, it suggests that companies target future improvements that are generally less aspirational than their historic achievements. This appears to be a function of diminishing marginal returns on efficiency investment, exacerbated by a rational reluctance to venture beyond the ‘fence line’. The evidence suggests that corporate water risk is increasingly viewed as a political rather than operational issue within the disclosure matrix. Current perceptions of best practice are entrenching a status quo that is fundamentally unfit for purpose given the scale of the challenges that need to be addressed over the rest of this decade, and beyond.
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 | 0.002 | 0.001 |
| 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) | 0.000 | 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