Antecedents of Settlement on a New Institutional Practice: Negotiation of the ISO 26000 Standard on Social Responsibility
Bibliographic record
Abstract
In contrast to theory and research on institutionalized forms, less attention has been given to the creation of new institutional practices and arrangements. Researchers have recently argued that new institutional practices reflect settlements or truces reached by organizations embedded within fields but, to date, there is a dearth of research on how these settlements are negotiated. Based on a study of the formal negotiation of, and settlement on, ISO 26000, a new international standard defining the normative domain of corporate social responsibility (CSR), this research draws from a cognitive perspective to develop and test an organizational model of settlement on a new institutional practice. Findings point to the important roles of logic pluralism within organizations and organizational negotiation frames as determinants of settlement and the creation of new institutional practices. Contrary to traditional expectations in the literature on institutional conformity, the moderating effect of an organization's embeddedness in the negotiation process did not facilitate settlement.
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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 | 0.024 | 0.119 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".