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Record W2756382427 · doi:10.5539/elt.v10n10p114

Teacher Research: Exploring Teachers’ Personal Epistemology through Narrartive Lens. A Colombian Case

2017· article· en· W2756382427 on OpenAlexvenueno aff
Diego Fernando Ubaque Casallas

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeSituatedPsychologyPedagogyNegotiationNarrative inquiryMeaning (existential)Teacher educationMathematics educationSociologySocial science

Abstract

fetched live from OpenAlex

This narrative inquiry study looked into four teachers’ life stories regarding their teaching practice. The study explored teachers’ experiences in pre-while and after stages when being observed by an academic supervisor in a binational but non- profit English center in Bogota, Colombia. By attempting to explore the possible forms of teachers’ knowledge, the study took on narrative inquiry as the research approach to explore how teachers approach and navigate personal and fixed epistemologies regarding teaching. Findings revealed that teachers’ personal epistemologies are shaped by elements like agreement and negotiation of meaning when supervisors assess/evaluate or discuss issues of the teaching practice. Based on the findings, I argue teachers’ personal epistemologies are driven by collaborative situated activities teachers engage in.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.015
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.013
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.323
GPT teacher head0.480
Teacher spread0.157 · 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
Published2017
Admission routes1
Has abstractyes

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