CSR Institutionalized Myths in Developing Countries
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 article examines joint action initiatives among small- and medium-sized enterprises (SMEs) in the manufacturing industries in developing countries in the context of the ascendancy of corporate social responsibility (CSR) and the proliferation of a variety of international accountability tools and standards. Through empirical fieldwork in the football manufacturing industry of Jalandhar in North India, the article documents how local cluster-based SMEs stay coupled with the global CSR agenda through joint CSR initiatives focusing on child labor. Probing further, however, also reveals patterns of selective decoupling in relation to core humanitarian and labor rights issues. Through in-depth interviews with a wide range of stakeholders involved in the export-oriented football manufacturing industry of Jalandhar in North India, the article highlights the dynamics of coupling and decoupling taking place, and how developing country firms can gain credit and traction by focusing on high visibility CSR issues, although the plight of workers remains fundamentally unchanged. The authors revisit these findings in the discussion and concluding sections, highlighting the main research and policy implications of the analysis.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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