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Record W2096843846 · doi:10.5539/jsd.v5n3p46

The Socio-Economic Role of Xate: A Case Study from a Returnee Community in the Maya Biosphere Reserve in Guatemala

2012· article· en· W2096843846 on OpenAlexvenueno aff
Ingrid Nesheim, Kristi Anne Stølen

Bibliographic record

VenueJournal of Sustainable Development · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsMayaNatural resourceAsset (computer security)BiosphereAgricultureNature reserveResource (disambiguation)SocioeconomicsEconomic growthGeographyNatural resource economicsBusinessEnvironmental resource managementDevelopment economicsEconomicsEcologyArchaeologyBiology

Abstract

fetched live from OpenAlex

Migrant populations have been blamed for over-harvesting natural resources threatening the long-term viability of the natural resource base. It has been argued that they over-harvest because they lack skills and experience. Chamaedorea sp., is one of the few non-timber forest products with which a significant number of agricultural households in rural Petén supplement their income. This paper presents a case study of the harvest of three xate species and of the economic importance of xate among the returnees (migrants returning to their home country from exile) in the cooperative Unión Maya Itzá in the Maya Biosphere Reserve, Guatemala. This case study shows that xate represented an important economic asset in the community. The institutional and human resources in La Quetzal have been important for realizing the economic value of xate for the community; however, these resources have also contributed to realizing a sustainable management of the xate resource in the community.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.003
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.227
Teacher spread0.210 · 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 designQualitative
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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

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