The Value Relevance of Repetitive Information—Is the Expected Social and Environmental Disclosure Informational?
Bibliographic record
Abstract
This paper analyzes the value relevance of firms’ social and environmental disclosure (SED) patterns expected by investors considering firms’ institutional contexts. Results show that the expected SED is value relevant for Chinese firms, not value relevant for Mexican and Canadian firms, and partial value relevant for Chilean, South African, and American firms. For Chinese firms, when the expected SED is isomorphic within the country, it is positively related to market value. However, the alternative expected SED is negatively related to market value. For Chilean firms, only the isomorphic social disclosure is (positively) valued by the stock market. Whereas for South African and American firms, only the alternative social disclosure is positively related to market value. Results suggest that institutions are essential to SED valuation as they determine whether and how stock markets value SED. Researchers in the discipline of accounting has taken an interest in social and environmental activities along with the rise of environmental protection regulations.
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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 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".