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Record W4390649437 · doi:10.14201/teri.16708

Ecocitizenship education: challenging the instrumentation of school as an anti-chamber of the «labor market»

2017· article· es· W4390649437 on OpenAlexaff
Lucie Sauvé, Hugue Asselin

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languagees
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsInstrumentation (computer programming)BusinessComputer scienceOperating system

Abstract

fetched live from OpenAlex

Frecuentados por influyentes lobbies, los sistemas educativos se impregnan cada vez más de las tendencias que caracterizan a nuestras sociedades contemporáneas, en particular, el fuerte predominio de la esfera económica en las relaciones sociales y la red de interacciones entre sociedad y medio ambiente. Este artículo presenta el análisis de un proyecto de política nacional que tiene por meta orientar la educación para favorecer un mejor acceso al «mercado del trabajo» y contribuir así <br /> a promover un cierto desarrollo económico. Veremos que esta iniciativa corresponde a <br /> las recomendaciones para la educación que formulan diversas instancias internacionales que consideran el crecimiento económico sostenido como la solución clave para resolver los problemas de nuestra humanidad. Examinaremos por fin los aportes potenciales de una educación para la ecociudadania al despliegue de un proyecto educativo que invita a los jóvenes a clarificar su propia visión del mundo, a tener una mirada crítica hacia las realidades socioecologicas, a redefinir la economía y a desarrollar un poder-hacer para reconstruir los lazos entre sociedad y naturaleza. <div> </div>

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0030.004
Open science0.0070.002
Research integrity0.0000.000
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 head0.285
GPT teacher head0.564
Teacher spread0.279 · 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 designObservational
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 routes1
Has abstractyes

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