MétaCan
Menu
Back to cohort
Record W6892551653 · doi:10.5281/zenodo.10467706

Alfabetización en ciencia y pensamiento crítico en el aula (Morandín, Villanueva y Romero): una revisión crítica y propositiva

2023· article· es· W6892551653 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languagees
FieldPsychology
TopicEducational methodologies and cognitive development
Canadian institutionsBrock University
Fundersnot available
KeywordsScientific literacyScientific thinkingLiteracySociology of scientific knowledge

Abstract

fetched live from OpenAlex

RESUMEN Este ensayo cuestiona la noción de que las habilidades racionales y analíticas sean efecto de la alfabetización científica y explica que, en cambio, son producto del Trivium. Nos hemos centrado específicamente sobre cuatro metas de la alfabetización científica para demostrar que ellas no son exclusiva ni originalmente científicas, sino que provienen desde los cursos del Trivium. Discutimos, por lo tanto, la detección de falacias, la adopción de una postura objetiva, el desarrollo de un pensamiento racional e inquisitivo y creativo, y la evaluación de la calidad de las fuentes. También consideramos brevemente el planteamiento y las metas de la alfabetización científica, así como la distinción entre las ciencias y otras disciplinas. Nuestra conclusión es que las competencias científicas necesitan desarrollarse sobre la base de las habilidades entrenadas por el Trivium como un sistema formativo. ABSTRACT This essay challenges the proposal of rational and analytic skills being the outcome of scientific literacy and explains that they are, instead, a result of the Trivium. We have specifically focused on four goals of scientific literacy to prove that they are neither exclusively nor originally scientific, but originate in the subjects of Trivium. We discuss, therefore, the exposure of fallacies, the adoption of an objective stance, the development of rational and inquiring and creative thinking, and the assessment of source’s value. We also consider briefly the idea and goals of scientific literacy, as well as the distinction between sciences and other disciplines. Our conclusion is that scientific competences need to grow up on top of those skills trained by the Trivium as an instructional system.

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)0.014
metaresearch head score (Gemma)0.017
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: Review · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0060.022
Scholarly communication0.0120.008
Open science0.0020.005
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.068
GPT teacher head0.379
Teacher spread0.310 · 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
GenreReview

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

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicEducational methodologies and cognitive developmentFrench-language works237,207