Corporate Social Responsibility: Comparative Critiques
Bibliographic record
Abstract
Strange Bedfellows? Critiquing Corporate Social Responsibility K.R.Raman Corporate Social Responsibility in the Era of Capitalist Globalization L.Sklair Corporate Social Responsibility and the Problem of Human Rights: Who is Protecting Whom? R.D.Lipschutz The Opportunities and Limits of Corporate Support for Voluntary Activity in Canada: Evidence from Voluntary Organizations P.Bowles & F.MacPhail Indigenous/NGO Alliances Confronting Corporate/State Alliances: The Case of Jabiluka Uranium Prospect K.Trebeck Romania ltd. - A Case Study of Irresponsible Conduct in Human Resources C.Crisan Extractive Industries and Stunted States: Conflict, Responsibility and Institutional Change in the Andes A.Bebbington From Corporate Accountability to Shared Responsibility: Dealing with Pollution in a Peruvian Smelter Town F.Li Beyond Bureaucracies? The Struggle for Self-Determination and Social Responsibility in the Argentine Worker-Run Companies A.Bryer Business for Peace, or Peace for Business? The Role of Corporate Peace Activism in the Rise and Fall of Sri Lanka's Peace Process R.Venugopal Commercial Microfinance in India: Loan Angels or Loan Sharks D.Ajit& K.R.Raman Corporate Social Responsibility, Local Livelihood and Human Rights: The Case of Coca Cola in India K.R.Raman Land Acquisition: Impossibility of Corporate Social Responsibility P.K.Basu Shifting Terrain of Ethical Trade: Corporate and Civil Society Engagement in South African Agriculture S.Barrientos & A.Kritzinger Corporate Social Responsibility and the Problem of Human Rights: Who is Protecting Whom R.D.Lipschutz Notes Bibliography Index
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.
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 | 0.019 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.012 | 0.086 |
| Scholarly communication | 0.017 | 0.019 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 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".