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Record W2246237503 · doi:10.5751/es-02992-140211

Integrating Conservation and Development in the Peruvian Amazon

2009· article· en· W2246237503 on OpenAlexvenueno aff
Catherine Kilbane. Gockel, Leslie Gray

Bibliographic record

VenueEcology and Society · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsnot available
FundersUS-UK Fulbright CommissionNature ConservancySanta Clara University
KeywordsNatural resource managementNatural resourceSocial capitalAmazon rainforestBusinessEnvironmental resource managementLegitimacyIntervention (counseling)Environmental planningResource (disambiguation)Resource management (computing)Political scienceGeographyEcologyEconomicsPsychology

Abstract

fetched live from OpenAlex

Recent studies have critiqued integrated conservation and development projects for failing to attain either of their two major goals.This paper evaluates one such project in Peru's Pacaya Samiria National Reserve, which entailed community-based natural resource-management plans for palm and aquatic resources.We conducted semistructured interviews with reserve inhabitants (n=57) during May 2007, as well as key-informant interviews with state and non-governmental organization (NGO) staff.Monitoring data and reports from NGOs were important secondary sources in this study.The intervention has improved the status of targeted species and has improved the well-being of participants.This project worked well for a number of reasons, including the long-term commitment of the implementing organization, the social capital and legitimacy provided by participation in management groups, and the fact that local knowledge was incorporated into resource-management techniques.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.008
Scholarly communication0.0040.003
Open science0.0010.008
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations76
Published2009
Admission routes1
Has abstractyes

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