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Record W2259344276 · doi:10.4000/actesbranly.665

“Roots of Reflection”: Spiritual Aspects of Plant Harvesting, Ethnoecological Practice and Sustainability for Indigenous Peoples of northwestern North America

2016· article· en· W2259344276 on OpenAlexaff
Nancy J. Turner

Bibliographic record

VenueLes actes de colloques du musée du quai Branly · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMcGill-Queen's University PressFirst Nations University of CanadaUniversity of Victoria
Fundersnot available
KeywordsIndigenousSustainabilityGeographyReflection (computer programming)Environmental ethicsAgroforestrySociologyPolitical scienceEnvironmental sciencePhilosophyEcology

Abstract

fetched live from OpenAlex

In northwestern North America, as in other regions of the world, Indigenous peoples have developed rich systems of ethnoecological knowledge, incorporating concepts of kincentricity (kinship between humans and all other lifeforms), and caretaking philosophies that embody responsibilities to sustain, and never to take for granted, those species that provide for humans. These ideas are engrained in traditional harvesting and use of resources, as reflected in people’s ritual and ceremonial practices. In this paper, I present examples of how these philosophical approaches are reflected in human-plant interactions, particularly in relation to traditional food systems. Although in some Indigenous communities today the ritual aspects of food are not as strong as they once were, they are regaining importance as, with increased legal recognition of the Rights of Indigenous Peoples, many First Nations communities are revitalizing and renewing all aspects of their cultures, languages, and ties to their lands and waters. The past and present role of camas and other traditional root vegetables in the region provides a good entrée for understanding the relationships between food use and worldview.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.027
GPT teacher head0.342
Teacher spread0.314 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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