A historical perspective on the growth of socially responsible investment
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 chapter aims to describe the evolution of socially responsible investment (sri), and to reflect on the state of practice and the challenges for sri. It presents the history of sri in the uk in three main stages—the early work of church investors, the launch of ethical investment unit trusts in the mid 1980s and the 'mainstreaming' of sri following the implementation of the sri pensions legislation in 2000. The chapter focuses on the uk, church investors also played a pioneering role in the development of sri in the us, in Canada, on the continent of Europe and in Australia. The earliest ethical investors were the churches on both sides of the Atlantic. Ethical investment grew naturally out of the churches' desire to integrate the management of their financial assets with their beliefs; in so doing they working within a venerable tradition.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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