A Contextual Review on the Evolution of Corporate Social Responsibility
Bibliographic record
Abstract
This article attempts the perilous tasks of reviewing corporate social responsibility. Reviewing those literatures is a notorious challenge because corporate social responsibility has developed inconsistently. Authors that insist a precise definition are often disappointed because corporate social responsibility is a relative concept. It has never assumed a stagnated role. To encaptivate this review, this article peruses corporate social responsibility from a contextual approach. It reviews the development of corporate social responsibility at every stage of its evolution by addressing three contextual conundrums. Firstly, it peruses the motivational construct at every stage of development. This provides a critical insight on why corporate social responsibility was fashioned as such by analysing them contextually. Secondly, this review examines stakeholder inclusiveness at each epoch of development. This again critically exposes the category of beneficiaries included in each stage of progress categorising the evolution of their beneficiaries. Lastly, this work examines the extent of instutionalisation of corporate social responsibility illustrating the pattern in which the concept received legal and social acclamation. By addressing these three scopes, this article hopes to protrude categorically the contextual influence on corporate social responsibility so that reader(s) might understand at a deeper level the contextual reasoning and deduction on how the concept is shaped and reshaped.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".