Estudio comparativo de la cantidad de informes de responsabilidad social emitidos por las empresas al Global Reporting Initiative (GRI)
Bibliographic record
Abstract
Resumen En este trabajo se realiza un estudio empirico y exploratorio en la base de datos del Global Reporting Initiative (GRI), con fines comparativos. Es evidente que las empresas europeas y japonesas son lideres en cuanto a la informacion social y medioambiental, asi como Estados Unidos y Canada, que tambien presentan altos indices de revelacion de informacion. Es apreciable el hecho de que las empresas ofrezcan mucha mas informacion de su pais de origen, pero poca o casi ninguna sobre su actuacion en otros paises en los que tienen presencia; esto tiende a justificarse con el argumento de que la cifra de negocios es poco representativa. El caso de los Estados Unidos Mexicanos (Mexico) es singular, por la poca presencia de sus empresas en los informes emitidos al GRI. En el trabajo se indican las posibles causas de este fenomeno y se apuntan las iniciativas gubernamentales y no gubernamentales que se llevan a cabo para impulsar esta forma de gestion en las empresas. palabras clave: Global Reporting Initiative (GRI), informe de sustentabilidad, informe social y medioambiental, responsabilidad social corporativa. Abstract In this work we make an empiric and exploratory study on Global Reporting Initiative (GRI) data base. Evidence that Europeans and Japanese’s corporations are pioneers in social and environmental information. North America and Canada have high index of information, less significative and exhaustive than Europe and Japan, there are more than in others Asiatic and Americans countries. Important is how the corporations have much information in their own countries, but not about the others countries where are presence, because the economy in this place is low. And tell us the importance of some sectors. The United States Mexican (Mexico) has a singular situation, first, his economic position, and second, the inexistent presence on the corporate social reports on GRI data bases of Mexican corporations. In this work we explain the possible causes and tell us the governance and no governance initiatives on impel this management area on corporations. keywords: Global Reporting Initiative (GRI), sustainability report, environmental and social report, corporate social responsibility.
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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 | 0.047 | 0.087 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".