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Record W2735762762 · doi:10.22230/cjnser.2017v8n1a232

Système Scolaire et Économie Solidaire Chez les Nasa de Colombie

2017· article· fr· W2735762762 on OpenAlexaffvenue
Betty Calero, Denyse Côté, Jacques L. Boucher

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Issues and Sustainability
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesSolidarity economyPolitical scienceSociologyLibrary scienceSolidarityPhilosophy

Abstract

fetched live from OpenAlex

Le modèle scolaire développé par les Nasa de Colombie a été construit en synergie avec son mode de développement économique communautaire ancestral et sert d’assise à sa quête d’autonomie comme peuple. Cette expérience scolaire permet aux élèves de participer, dès le secondaire, à des activités économiques solidaires qui sont environnementalement responsables. Le Projet éducatif communautaire nasa (PÉC) est en effet central au modèle économique et permet la transmission concrète et quotidienne de la philosophie nasa ainsi que des pratiques ancestrales nasa. Cet article fait état d’une étude de cas menée dans le cadre d’un mémoire de maîtrise en travail social sur le site d’une école secondaire du système scolaire nasa. Elle a été menée par le biais d’observations directes et d’entretiens auprès de ses acteurs, c’est-à-dire les leaders communautaires, les éducateurs, les parents et les élèves.In Colombia, the school system of the Nasa people integrates directly into their curriculum practical and theoretical aspects of their indigenous communitarian economy so as to contribute to their survival. This educational model calls on high school students to take charge of economic projects involving environmental and community solidarity. The Community Educational Project (PEC) is central to the Nasa educational experience that also integrates Nasa philosophy and directly supports their economic model. This case study results from fieldwork for a master’s thesis in social work in one of the Nasa high schools. Data collection methods comprised direct observation and interviews with stakeholders, including community leaders, educators, parents and students.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.772

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.118
GPT teacher head0.412
Teacher spread0.294 · 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
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
Published2017
Admission routes2
Has abstractyes

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