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Record W2088513682 · doi:10.1007/s10745-012-9547-7

Indigenous Ex Situ Conservation of Q'eqchi' Maya Medicinal Plant Resources at the Itzamma Garden—Indian Creek, Belize, Central America

2012· article· en· W2088513682 on OpenAlexaff
Patrick Audet, Brendan Walshe‐Roussel, Victor Cal, Francisco Caal, Marco Otárola Rojas, Pablo Sanchez Vindas, Luis Poveda, Todd Pesek, John T. Arnason

Bibliographic record

VenueHuman Ecology · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEthnobotanical and Medicinal Plants Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMayaIndigenousGeographyAgroforestryEthnobotanyTraditional knowledgeResource (disambiguation)Environmental resource managementMedicinal plantsEnvironmental planningEcologyArchaeologyBiologyEnvironmental scienceComputer science

Abstract

fetched live from OpenAlex

The Itzamma Garden and Medicinal Plant Project is a collaborative effort focused on identifying traditionally important plants used by the Q'eqchi' Maya of southern Belize. The Garden represents a cornerstone of the project where these plant resources (~130 in total, of which 102 have been identified to the species level) are cultivated ex situ as a means of providing primary healthcare by traditional healers. Here, we present a comprehensive agro-ecological survey of the Garden describing the layout and cultivation scenarios, development challenges encountered, and associated implementation strategies for improving site practices. A general recommendation for the adaptation of this strategy to other localities is the thorough depiction of ecological features based on interactions with local practitioners, for example, leading to the effective cultivation of plants, the enhancement of soil, and the surveillance of crop nutritional status and medicinal potency. We consider that the ‘ethnobotanical garden approach’ could provide a collaborative ‘working model’ for rural development, especially indigenous communities interfacing with their local agro-ecosystems.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.238
Teacher spread0.209 · 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

Citations9
Published2012
Admission routes1
Has abstractyes

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