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Record W1871524776 · doi:10.3968/5025

The Act of Participating or Not: Institutional, Personal Discourses and Teacher Development

2014· article· en· W1871524776 on OpenAlexvenueno aff
Luz María Muñoz de Cote, M. Martha Lengeling

Bibliographic record

VenueHigher education of social science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingInstitutionContext (archaeology)SociologyPublic relationsProfessional developmentQualitative researchPolitical sciencePedagogySocial scienceLawHistory

Abstract

fetched live from OpenAlex

This study investigated how a small group of part-time, non-tenured language teachers, at a public university in central Mexico, responded to the opportunity of publishing their first research article. Based upon a qualitative study we explore the teachers’ discourses and the institution’s to understand the teachers’ positions towards this research project and how these teachers see their future teacher development within a specific context they share.  The purpose of the project was to encourage nontenured teachers who, within the institution, have limited opportunities and financial support to develop as researchers. The latter is based on the reality that throughout Mexico as well as other parts of the world and within many disciplines, academic publishing is a strategy used to measure professional development among university teachers. Findings suggest that carrying out research and publishing are not participants’ first priorities despite their interest in gaining tenure.

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)0.016
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0160.023
Scholarly communication0.0110.007
Open science0.0020.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.100
GPT teacher head0.419
Teacher spread0.319 · 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 designQualitative
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

Citations1
Published2014
Admission routes1
Has abstractyes

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