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Record W1993869857 · doi:10.1139/b07-111

From complex to simple: balsamroot, inulin, and the chemistry of traditional Interior Salish pit-cooking technologyThis paper was submitted for the Special Issue on Ethnobotany, inspired by the Ethnobotany Symposium organized by Alain Cuerrier, Montréal Botanical Garden, and held in Montréal at the 2006 annual meeting of the Canadian Botanical Association/l’Association Botanique du Canada.

2008· article· en· W1993869857 on OpenAlexafffundvenueabout
Sandra Leslie Peacock

Bibliographic record

VenueBotany · 2008
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsUniversity of British Columbia, Okanagan Campus
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsInulinEthnobotanyFood scienceBotanyHydrolysisFoodwaysCarbohydrateChemistryBiologyBiochemistryMedicinal plantsArt

Abstract

fetched live from OpenAlex

This paper presents the results of an experiment replicating traditional Interior Salish pit-cooking methods to process balsamroot ( Balsamorhiza sagittata (Pursh) Nutt.), a former food staple that contains the complex carbohydrate inulin. Analysis of fresh and cooked balsamroot samples reveals that with sufficient heat, moisture, and the release of volatile organic acids, inulin is hydrolyzed during pit cooking. This process converts complex carbohydrates into simple ones, resulting in an increase of 250% in the energy provided by simple sugars. When the average energy contributions of protein, simple and complex carbohydrates are tallied, the net result is an energy gain of approximately 65% between fresh and pit-cooked balsamroot. This research demonstrates the effectiveness of ancient pit-cooking practices in transforming unpalatable and inedible root resources into sweet-tasting, highly digestible sources of carbohydrate energy and supports my assertion that this processing technology was a key component of the wild plant food production systems of Interior Salish Peoples.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.199
Teacher spread0.193 · 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 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

Citations14
Published2008
Admission routes4
Has abstractyes

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