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Record W2409124605 · doi:10.15517/rcs.v1i151.24967

“ENVERDECIENDO” EL CAPITALISMO: UNA GUERRA CONTRA LA SUBSISTENCIA

2016· article· es· W2409124605 on OpenAlexaff
Ana Isla

Bibliographic record

VenueRevista de Ciencias Sociales · 2016
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsBrock University
Fundersnot available
KeywordsHumanitiesCapitalismPolitical sciencePovertyCapital (architecture)GeographyArtPolitics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.003

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.

Opus teacher head0.041
GPT teacher head0.273
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2016
Admission routes1
Has abstractyes

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