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Record W4411706723 · doi:10.29173/jaed514

Book Review: Braiding sweetgrass: Indigenous wisdom, scientific knowledge and the teachings of plants and The serviceberry: Abundance and reciprocity in the natural world

2025· article· en· W4411706723 on OpenAlexaff
Dara Kelly, Donna Feir

Bibliographic record

VenueJournal of Aboriginal Economic Development · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian Indigenous Culture and History
Canadian institutionsUniversity of VictoriaSimon Fraser University
Fundersnot available
KeywordsReciprocity (cultural anthropology)IndigenousNatural (archaeology)Abundance (ecology)SociologyEnvironmental ethicsEpistemologySocial sciencePhilosophyGeographyBiologyEcologyArchaeology

Abstract

fetched live from OpenAlex

Kimmerer’s books embed two-eyed seeing by incorporating lessons from Western science and Indigenous knowledge. In both books, Kimmerer explores the reciprocal relationship between humans and the natural world to reflect on modern economic life and an ethical way of being. She weaves together her personal experiences, knowledge of plants as a botanist, and traditional teachings as a Citizen of the Potawatomi Nation to advocate for a more sustainable and respectful relationship with the environment in a way that may also transform the economy. Kimmerer uses storytelling and personal reflection to bridge knowledge systems and generate her arguments. The economic themes are most prevalent in the latter half of Braiding Sweetgrass and at the heart of Serviceberry. She argues that the modern operation of the economy is built on a principle of scarcity rather than reciprocity. Reciprocity, which she observes everywhere in thriving ecosystems, along with focusing locally, she argues, may be key to making choices for a more sustainable economic future.

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)0.007
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
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)0.0000.000

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 head0.008
GPT teacher head0.292
Teacher spread0.284 · 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 designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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