Bibliographic record
Abstract
ical gardens. In a period coeval with the greater reliance on codes of ethics in business, the park had been plagued by its own kind of misconduct, that of insects destroying the flora. The park took counter-measures to this mischief; they imported fauna, geckoes, to eat the insects. Now, the park area is overrun by geckoes, and the introduction of brown snakes is being considered, to pare down the geckoes. To continue the spiral, these will no doubt to be followed by a large number of mongooses, to rid the park of a plague of snakes. If we substitute scandal, codes and legislation, this Californian sequence is an apt metaphor for some of the reactive solutions tried in business ethics, where efforts to resolve one issue have aggravated the balance. Despite good intentions, the strategies failed, and that is the same claim we make and defend, about corporate governance by codes and legislation. We begin with some commonplaces. The culture of an organization is the general atmosphere, the values and standards of that organization, which help to shape all internal behavior and external dealings. The most fundamental part of organizational culture is its ethics. Business ethics promotes the successful integration of ethics into organizational culture, inculcating standards of excellence throughout the organization, so that everyday decisions, attitudes and beliefs are subject to these ethical standards.
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How this classification was reachedexpand
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 | 0.028 | 0.077 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".