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Record W2897066069 · doi:10.4103/cs.cs_16_182

Balancing Conservation and Livelihoods: A Study of Forest-dependent Communities in the Philippines

2018· article· en· W2897066069 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConservation and Society · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLivelihoodSocioeconomic statusGeographySustainabilityForest managementLand useBiodiversityAgricultureLocal communityResource (disambiguation)Environmental resource managementAgroforestrySocioeconomicsForestryEcologyPopulationEconomicsEnvironmental science

Abstract

fetched live from OpenAlex

Forest-dependent communities in the tropics typically rank lower in socioeconomic status than agricultural and urban communities, and improving livelihood choices while protecting forest resources can be a difficult task. Conflicts can arise where biodiversity conservation objectives restrict resource access to forest communities. In this study, we investigate how land cover, land use, and protected area management affects communities around a forest reserve in the Philippines. We conduct a socioeconomic analysis at two scales: a municipal-level analysis relating land use to socioeconomic status, and a community-level analysis contrasting villages that are close to and distant from a protected forest area. While forest-dependent communities generally had fewer amenities and infrastructure than agricultural and urban communities, community-level analysis showed that socioeconomic status was higher in areas close to protected areas. The study provides a counter-example to other findings by showing that access to resources improves socioeconomic status for local communities while maintaining environmental protections. We conclude that incorporating local livelihoods into forest conservation strategies, such as collection of non-timber forest product, results in a measure of sustainability, which in turn has a significant positive impact on the socioeconomic well-being of communities near the protected area.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.226
Teacher spread0.203 · 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