MétaCan
Menu
Back to cohort
Record W2768000155 · doi:10.1177/1177180117740708

The regenerated <i>chacra</i> of the Kichwa-Lamistas: an alternative to permaculture?

2017· article· en· W2768000155 on OpenAlexaff
Jeremy L. Caradonna, Frédérique Apffel-Marglin

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAgroecologyIndigenousSubsistence agricultureAgricultureAmazon rainforestAgroforestryMainstreamReciprocity (cultural anthropology)EthnobiologyTraditional knowledgeMaterialismEnvironmental ethicsSociologyGeographyEcologySocial sciencePolitical scienceArchaeologyBiologyAnthropologyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

This article compares Western permaculture theory and practice with the indigenous agricultural system of the Kichwa-Lamistas in the Department of San Martin in High Amazon Peru. It draws on indigenous theory and collaborations with the Kichwa-Lamistas to argue that the bioculture of the latter represents an alternative not only to modern, industrialized agriculture but also to permaculture. The article profiles the agroecological system used by the Kichwa-Lamistas, which employs agroforestry, the use of anthropogenic Terra Preta soils, and other sustainable practices. Although both the Kichwa-Lamista chacra (farm) and the permaculture farm or garden represent, in theory, two forms of closed-loop, polycultural, agroforestry-based subsistence farming, we argue that the enactments of reciprocity and other spiritual components of Kichwa-Lamista bioculture constitute an alternative to permaculture’s rootedness in scientific, materialist, and universalist traditions, which ultimately treat the natural world as other.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.012
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.338
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAlterNative An International Journal of Indigenous PeoplesSame topicEnvironmental, Ecological, and Cultural StudiesFrench-language works237,207