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Record W3124277450 · doi:10.1177/0033688220981778

“COVID-19 is an Opportunity to Rediscover Ourselves”: Reflections of a Novice EFL Teacher in Central America

2021· article· en· W3124277450 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueRELC Journal · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsBrock University
FundersBrock University
KeywordsPsychologyPedagogyInterdependenceInterpretation (philosophy)Reflection (computer programming)Reflective practiceDivergence (linguistics)Teacher educationQualitative researchMathematics educationSociologyLinguistics

Abstract

fetched live from OpenAlex

This article presents a case study that examined the principles and practices of one novice English as a foreign language (EFL) teacher at a prominent English language institution in Central America. This qualitative study sought to contribute to the discussion of the perceived interdependent influences of EFL teachers’ thoughts, identities, and behaviors through five stages of self-reflection in Farrell’s framework for reflective practice. The EFL teacher engaged in conscious reflection to subject their beliefs to critical analysis and interpretation expressed through their philosophy, principles, theory, practice, and beyond practice. Overall, the findings confirm that reflections in all five stages are connected to several common themes, but simultaneously reveal a complex relationship between the teacher’s stated principles and actual practice. The discussion explores potential reasons for convergence and divergence in teachers’ beliefs and classroom actions, concluding that the results correlate with previous research in the field of language education and teacher reflection.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.113
GPT teacher head0.364
Teacher spread0.251 · 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