Building Theoretical Foundations For Strategic Csr In Sport 1
Bibliographic record
Abstract
In this chapter, the authors suggest that the nature of a professional sport organisation&s;s Corporate Social Responsibility (CSR) efforts depends upon the organisation&s;s focus on external pressures and/or internal resources. Their CSR framework was developed through studying the specific context of professional sport. Their first step in building a framework that would have broad practical and scholarly impact was to scan and review CSR theories and approaches in the academic literature. The authors consider various theoretical perspectives evident in the literature to explain and extend knowledge generated about CSR. In developing their framework, the authors conducted a qualitative study to explore what forces sport practitioners deem central to the adoption and integration of CSR efforts in their organisations. Other extensions and applications of their framing are evident in the work of S. Hamil and S. Morrow, who examined the context and motivation of CSR in the Scottish Premier League.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.030 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".