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Record W2049755113 · doi:10.14237/ebl.3.2012.42

Ethnobotany of Tl'azt'en Nation: Plant Use and Gathering Site Characteristics

2012· article· en· W2049755113 on OpenAlexafffund
Leona R. Shaw, Jane Young

Bibliographic record

VenueEthnobiology Letters · 2012
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Northern British Columbia
FundersUniversity of Northern British Columbia
KeywordsEthnobotanyTraditional knowledgeTRIPS architectureGeographyAgricultureEthnologyFocus groupSocioeconomicsSocial scienceEcologyLibrary scienceSociologyArchaeologyAnthropologyMedicinal plantsEngineeringBiologyIndigenous

Abstract

fetched live from OpenAlex

Aboriginal people have intimate and venerable relationships with the environment, and plants were and still are important for food, medicine, and cultural purposes. The present research is a collaborative project between Tl'azt'en Nation (located in northcentral British Columbia, just north of Fort St. James) and the University of Northern British Columbia (UNBC). The objectives of the study were to collect Traditional Ecological Knowledge (TEK) to gain an understanding of the criteria for gathering individual plants for food or medicine use, and to understand why traditional plant gathering sites may fall out of use. Multiple methods were used to gather information from knowledgeable Tl'azt'enne community members including focus groups, interviews, and field trips. Community members possess deep understandings of plants and their gathering sites. People’s concerns include the loss of TEK and changing landscapes due to the effects of disturbances on their lands. The knowledge gathered and documented throughout the study can be used to promote the preservation of the culture and language of Tl'azt'en Nation

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)0.001
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 score0.672

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 studies0.0010.000
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 head0.068
GPT teacher head0.341
Teacher spread0.273 · 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.

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

Citations1
Published2012
Admission routes2
Has abstractyes

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