Bibliographic record
Abstract
Abstract Globalisation is changing the public affairs agenda for businesses operating in a more interdependent world. As the roles and responsibilities of government are being redefined, and the boundaries between business and government become less clear cut, today's business leaders are facing a daunting array of challenges. In the new age of corporate social responsibility, the needs of shareholders, consumers, employees, national as well as international regulators, watchdogs, NGOs and activist groups have to be satisfied. The number of variables that could affect the bottom line appears to be growing at an exponential rate; and losing the trust of stakeholders can be fatal. Business leaders should step up to the challenges that these developments are creating. They should be unapologetic about countering anti‐globalisation activists by demonstrating the real value that business can bring to the developing as well as the developed world. They should help to promote the virtues of greater transparency and accountability to their stakeholders. They should be actively engaged in fashioning new regulatory architecture that is pro‐competitive, one that makes trade possible. Business leaders should support efforts to develop better quality regulation of the increasing number of trans‐national issues that call for co‐ordinated, international responses. Ignoring or down‐playing these challenges carries a price: it plays into the hands of cyber cohorts and single issue groups, that are accountable to none but themselves, and leads to weaker public policy outcomes. Copyright © 2003 Henry Stewart Publications
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.023 | 0.016 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.014 | 0.012 |
| Insufficient payload (model declined to judge) | 0.061 | 0.012 |
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".