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Territorios sustentables: legitimando la conservación en reservas de biosfera

2022· article· es· W4281885902 on OpenAlexfundno aff
Jorje Zalles

Bibliographic record

VenueDebates en Sociología · 2022
Typearticle
Languagees
FieldEnvironmental Science
TopicEnvironmental and Cultural Studies in Latin America and Beyond
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsHumanitiesGeographyPhilosophy

Abstract

fetched live from OpenAlex

Las reservas de biosfera constituyen una propuesta de manejo que aspira reconciliar múltiples tipos de uso de suelo en una superficie representativa de la diversidad ecológica y cultural del planeta. Entre sus objetivos está precautelar la integridad ecológica de áreas núcleo dedicadas a la conservación, lo cual en definitiva implica considerar los requerimientos de las poblaciones humanas que albergan. Este ensayo postula que para legitimar la conservación en reservas de biosfera es necesario lograr la activación de dos procesos distintivos: sustentabilidad y territorialización. En otras palabras, las reservas de biosfera deben ser consideradas como territorios sustentables si han de servir sus propósitos conservacionistas. En este caso, la sustentabilidad ambiental se logra asegurando la provisión de servicios ecosistémicos mediante el establecimiento de paisajes multifuncionales, mientras que la sustentabilidad social implica la institucionalización de procesos sociales. Además, se debe consolidar la apropiación territorial de las reservas por parte de sus habitantes. Al lograrse conjuntamente, la sustentabilidad ambiental, la sustentabilidad social y la apropiación territorial permitirían que las reservas de biosfera se puedan convertir en territorios sustentables, apuntalando de esa manera sus funciones de conservación de la naturaleza.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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.

Opus teacher head0.006
GPT teacher head0.242
Teacher spread0.236 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

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