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Record W2890598177 · doi:10.1505/146554816819254290

Complex relationships among gender and forest food harvesting: insights from the Bribri Indigenous Territory, Costa Rica

2016· article· en· W2890598177 on OpenAlex
Olivia Sylvester, Alí García Segura, Iain J. Davidson‐Hunt

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

VenueThe International Forestry Review · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIndigenousAppropriationResource (disambiguation)GeographySocioeconomicsSociologyEcologyBiology

Abstract

fetched live from OpenAlex

SUMMARY The gendered dimensions of wild food harvesting are often examined at the resource appropriation stage; to build on this literature, we examined gender and wild food harvesting across multiple wild harvesting stages from pre-harvest to food sharing. Using qualitative methods (participation, interviews, and group discussions) informed by Bribri Indigenous teachings, we found that: 1) no single harvesting stage was exclusive to members of one gender, 2) mixed gender harvesting groups were common, 3) women participate in all wild harvesting stages, and 4) men are central to wild plant food harvesting. These findings provide a nuanced picture of gendered harvesting and challenge prevalent biases about women and men's roles in plant harvesting and hunting. Our research further highlights the importance of examining variables such health, opportunities or motivation to harvest, and expertise, to understand intra-gender harvesting. Our research provides a framework to examine gender across multiple stage...

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)0.000
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 score0.215
Threshold uncertainty score0.524

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.077
GPT teacher head0.231
Teacher spread0.154 · 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