MétaCan
Menu
Back to cohort
Record W4404842836 · doi:10.1017/9781009423250

Reflective Practice for Early Career Language Teachers

2024· book· en· W4404842836 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

VenueCambridge University Press eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychologyPedagogyMathematics educationSociology

Abstract

fetched live from OpenAlex

Based on a range of detailed case studies, this innovative book presents a model for early career language teacher development. It showcases the lived experiences of English language teachers in their training years, as well as the reflections of two more experienced English language teachers, and uses these case studies to provide practical guidelines on early career needs and development. It outlines four essential and highly connected conditions that will enable teachers to survive and thrive in the profession: reflection, support, resilience, and well-being. Using an innovative, evidence-based, data-informed approach to reflective practice, the book covers teachers' philosophy, principles, theory, practice, and critical reflection beyond practice. Each chapter contains practical reflection activities, to encourage reflection throughout from the reader on what the research reveals. It is essential reading for graduate students who are training to become language teachers, as well as language teacher trainers and lecturers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0010.001
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 head0.039
GPT teacher head0.345
Teacher spread0.306 · 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