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Record W4389941908 · doi:10.21810/sfuer.v15i1.6163

Scientific Dissemination Practices in Basic Education

2023· article· en· W4389941908 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSFU Educational Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseScientific literacyInstitutionWork (physics)SociologyPolitical scienceInformation DisseminationLiteracySociology of scientific knowledgePublic relationsLibrary sciencePedagogySocial scienceScience educationEngineeringComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This work assumes that it is a basic school commitment to contribute to scientific dissemination, scientific literacy, and the establishment of a culture of science in society, especially in Brazil, a country where scientific denialism is still very present. The purpose of this text is to reflect on the challenges and results of a practical experience with scientific dissemination at the Fundação Escola Técnica Liberato Salzano Vieira da Cunha, a public technical high school in Novo Hamburgo, Rio Grande do Sul, Brazil. Two actions carried out by a Portuguese language teacher at the institution are reported: the work with the discursive genre news for scientific dissemination in high school classes and the editorial of the journal Liberato Científica, the institution's journal for scientific dissemination.

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.

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)0.006
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.543
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.190
GPT teacher head0.601
Teacher spread0.410 · 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