Measurement of U.S. Equity Mutual Funds’ Environmental Responsibility Attractiveness for an Individual Investor
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
Socially responsible mutual funds, also known as socially responsible invested funds, are one of the main instruments of Socially Responsible Investment (SRI). The term “fund” is used to refer to a ready-made financial product where investor’s money is pooled into a portfolio and a fund/investment manager decides which shares to buy. Therefore, this financial product is attractive for passive investors without a high degree of financial knowledge. Nevertheless, investment tools aimed at assisting the investors in their selection of socially responsible companies which serve best their social and environmental values are rather scare and this lack of tools assisting investors in SRI is even more important when we refer to socially responsible mutual funds. The aim of this paper is to assist individual passive investors in their investment decisions providing them with a ranking of mutual funds adjusted to their social, environmental and ethical particular preferences. The proposed approach is illustrated with a real US equity mutual funds’ ranking example.
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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 | 0.010 | 0.001 |
| 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 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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