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Record W4394630994 · doi:10.17118/11143/20539

La educación para la concientización planetaria

2023· article· es· W4394630994 on OpenAlexaff
Obrillant Damus

Bibliographic record

VenueAnthropologie des savoirs des Suds · 2023
Typearticle
Languagees
FieldEnvironmental Science
TopicEnvironmental and sustainability education
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Resumen: Entendemos por Educación para la concientización planetaria al conjunto de los procesos sociales, económicos, culturales, políticos, cognitivos, etc., con los cuales aprendemos a considerarnos como seres que comparten un destino común, el de ser terrestres vulnerables, cualquiera sea el color de nuestra piel, nuestros orígenes sociales, nuestra lengua, cultura, nuestras cosmovisiones, creencias religiosas, nuestra historia e identidad nacional.Esta educación que comienza desde el nacimiento hasta la muerte, debe permitirnos sentirnos estar vinculados no solo con los seres humanos, sino también con los no humanos (animales, plantas, montañas, ríos, fuentes mineras, y con lo demás) que pueblan el planeta.Uno de esos objetivos es ayudarnos a respetar a nuestros semejantes, a los no humanos, así como a las divinidades locales que existen en ellas (las localidades).¿Qué significa la Educación para la conscientización planetaria ?¿Cuáles son los valores de esta educación ?¿Cómo ésta podría suplantar a la educación para el lucro ?Intentaremos responder a estas preguntas basándonos en diferentes investigaciones.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0450.008

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 head0.043
GPT teacher head0.341
Teacher spread0.298 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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