Bibliographic record
Abstract
El capitalismo “verde”, como se presenta en las tres Conferencias de las Naciones Unidas sobre el Medio Ambiente y el Desarrollo, se ha propuesto para enfrentar las crisis del medio ambiente (ecológicos) y social (pobreza) que se vive actualmente en todo el mundo. Este "enverdecimiento" es una nueva etapa de acumulación de capital que implica: el uso de mecanismos financieros, como los intercambios de deuda por naturaleza; la licencia de las ongambientales para negociar los recursos de los países endeudados con las grandes corporaciones, el establecimiento de los valores monetarios de los “bienes comunes globales”. Por otro lado, los nuevos trabajadores son mujeres y hombres campesinos e indígenas que han adquirido nuevos papeles como proveedores de servicios en las nuevas industrias, como el llamado turismo ecológico. En este artículo se considera Costa Rica en esta etapa del capitalismo y se hacen las críticas al respecto.----Green Capitalism, as presented at the three linked United Nations Conferences on Environment and Development, has been proposed as a means to confront the environmental (ecological) and social (poverty) crises currently being experienced around the world. This “greening” is a new stage of capital accumulation that entails: the use of financial mechanisms, such as debt-for-nature exchanges; the license of environmental ngos to broker the indebted countries’ resources with large corporations, and to establish the monetary values of the ‘global commons’. Meanwhile, the new labourers are peasants and Indigenous women and men who have acquired new roles as service providers in the new industries, such as eco-tourism. This paper considers this stage of capitalism in Costa Rica and the critiques to it.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.020 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".