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Record W4297183486 · doi:10.1080/14623943.2022.2128100

From doctor to facilitator: reflecting on the metaphors of early career EFL teachers

2022· article· en· W4297183486 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.

Bibliographic record

VenueReflective Practice · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsBrock University
Fundersnot available
KeywordsFacilitatorFeelingPsychologyPedagogyForeign languageControl (management)Qualitative researchMathematics educationSocial psychologySociology

Abstract

fetched live from OpenAlex

When language teachers enter a classroom to teach in their early career years, they hold many different beliefs and feelings about how to conduct their classes that for the main part remain at the tacit level of understanding. However, it is important for early career language teachers to become aware of these beliefs and feelings so that they can critically reflect on their significance during this challenging period. Metaphors can offer early career teachers a rich means of identifying their experiences and beliefs that underpin their understanding of teaching and learning a second or foreign language. This qualitative study sought to contribute to the discussion of the experiences of four early career English as a foreign language (EFL) teachers through their use of metaphors to describe their personal understanding of their beliefs and feeling. Specifically, the case study examined the metaphors used by one teacher in her 2nd year, another in his 3rd year an additional teacher in his 4th year, and one in his 5th year of teaching. Results indicate that teachers in their 2nd and 3rd years chose personal metaphors that ‘diagnose’ deficits and thus must be in control, while in their 4th and 5th years the teachers wanted to motivate and facilitate the learning process rather than control it.

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)0.001
metaresearch head score (Gemma)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.224
GPT teacher head0.402
Teacher spread0.178 · 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