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Record W2911441898 · doi:10.5539/jsd.v12n1p148

Describing Local Development in Indigenous Peoples

2019· article· en· W2911441898 on OpenAlexvenueno aff
Dante Ayaviri Nina, Gabith Miriam Quispe Fernández, Patricio Sánchez Cuesta

Bibliographic record

VenueJournal of Sustainable Development · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousLocal DevelopmentSustainabilityConsolidation (business)Community developmentPolitical scienceEnvironmental planningRegional scienceEnvironmental resource managementSociologyGeographyBusinessEcologyEconomics

Abstract

fetched live from OpenAlex

Practices and modes of development planning have focused on researchers, because the development of communities and states depends on them, and it has its importance in all territories, as well as the practices and processes of construction of development. The article aims to identify the practices that rural communities have in relation to local development, specifically addresses the |Aymara communities of Bolivia. To do this, a survey of leaders of the region was carried out; on the other hand, development plans and specialized literature in the field of development have been reviewed. The results establish that local development approaches the theory of endogenous development, given the practices and the role played by actors in the development processes, which involved solid and inclusive participative community organizations, a leading role in the consolidation of productive, organizational and planning systems, based on values, ancestral and cultural customs of territory with a focus on sustainability.

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 score0.105
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.007
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.255
Teacher spread0.234 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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