MétaCan
Menu
Back to cohort
Record W3018742482 · doi:10.1007/978-3-030-37023-7_9

Andean Indigenous Sustainable Development

2020· book-chapter· en· W3018742482 on OpenAlexafffund
Timothy MacNeill

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsOntario Tech University
FundersUniversity of Ontario Institute of Technology
KeywordsIndigenousLatin AmericansConstitutionSustainable developmentGeographyTheme (computing)Political scienceEthnologyEnvironmental protectionSociologyEcologyLaw

Abstract

fetched live from OpenAlex

Abstract The most politically forceful, and institutionally integrated, form of indigenous sustainable development in Latin America has emerged in the Andean region—especially in Peru, Bolivia, and Ecuador. Although this region is home to multiple indigenous cultures, much weight is given to theKechwaconcept ofSumak Kawsay(living well). Owing to the power of the local indigenous movement, the idea has been most completely incorporated in Ecuador—where it is the central theme of the country’s most recent constitution. The Andean case study allows us to observe indigenous sustainable development in its most advanced form. The Ecuadorian example at once provides home for indigenous development, and a cautionary tale of its implementation.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.002

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 head0.009
GPT teacher head0.166
Teacher spread0.157 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes2
Has abstractyes

Explore more

Same topicMining and Resource ManagementFrench-language works237,207