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Record W3216594202 · doi:10.1139/cjb-2021-0111

Shifting narratives, recognizing resilience: new anti-oppressive and decolonial approaches to ethnobotanical research with Indigenous communities in Canada

2021· article· en· W3216594202 on OpenAlexafffundvenueabout
Leigh Joseph, Alain Cuerrier, Darcy Mathews

Bibliographic record

VenueBotany · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversité de MontréalUniversity of Victoria
FundersCanadian Institutes of Health ResearchOregon State UniversitySocial Sciences and Humanities Research Council of CanadaQueen's UniversityMcGill University
KeywordsIndigenousTraditional knowledgeOpposition (politics)NarrativeColonialismSociologyEnvironmental ethicsPsychological resiliencePoliticsEthnobotanyEcologyPolitical scienceBiologyLawMedicinal plants

Abstract

fetched live from OpenAlex

Revitalizing Indigenous land-based practices is an act of resurgence and resistance. The presence of Indigenous bodies occupying land to nourish and strengthen themselves through ancestral practices is a political act. These cultural systems of knowledge and practice are in opposition to historical and ongoing colonial attempts to dispossess Indigenous Peoples of their connections to land. Indigenous People have undergone changes in diet and land access, including cultivating and harvesting plants for health and wellbeing. Recognizing and understanding the impacts and implications of colonization on land-based knowledge is fundamental in carrying out meaningful work within Indigenous communities in the field of ethnobotany. Much of the literature and media on Indigenous issues continue to uphold trauma narratives. When working with Indigenous communities on projects, it is essential to understand the history, impacts, and ongoing struggles related to colonization and genocide in America to not cause harm and to contribute positively to these communities. Furthermore, by taking our responsibilities one step further, we can carry out research in trauma-informed ways while prioritizing anti-oppressive, decolonial, and strength-based approaches to our research and collaborations with Indigenous communities. We illustrate these points through a community-based case study from the Squamish Nation in British Columbia, Canada.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.154
GPT teacher head0.352
Teacher spread0.199 · 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 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

Citations9
Published2021
Admission routes4
Has abstractyes

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