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Record W2983076441 · doi:10.5539/hes.v9n4p167

Teaching Teachers for Brazilian Universities: A Content Analysis of Scientific Publications Focused on the Sustainability of Stricto Sensu Programs

2019· article· en· W2983076441 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

VenueHigher Education Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsSensu strictoContent analysisSciELOLibrary scienceFocus groupHigher educationSustainabilityQualitative researchSociologyPedagogyPsychologyMedical educationPolitical scienceSocial scienceMEDLINEComputer scienceMedicineBiologyEcologyZoology

Abstract

fetched live from OpenAlex

After more than four decades of post-graduate programs in Brazil focused on the preparation of teachers – the Stricto and Lato Sensu programs – we have verified a gearing frequency of academic works that reflect on these programs. Through a bibliometric analysis and a content analysis of scientific publications focused on the Stricto Sensu programs we conclude that the current stage of research development shows that these programs are associated with a concentrated focus on research and that pedagogical preparation is being made secondary. The methodology used was qualitative, data from the Brazilian Platform for Higher Education Personnel Improvement Coordination (CAPES) and the Scientific Electronic Library Online (Scielo) were used and analyzed using the Iramuteq software.The results showed that since the 2000s the number of doctoral theses and master's dissertations has grown and the area with the most publications refers to the health sciences.This bias motivates an accessory debate as well as revealing the implications of the focus of these programs.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.194
GPT teacher head0.461
Teacher spread0.267 · 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