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The Novice Years of TESOL Teaching

2021· other· en· W3197158885 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

VenueThe TESOL Encyclopedia of English Language Teaching · 2021
Typeother
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychologyMathematics educationConstruct (python library)Transition (genetics)Teacher educationPedagogyTeaching methodComputer science

Abstract

fetched live from OpenAlex

Many TESOL teacher educators, teachers, students, and administrators assume that once novice TESOL teachers have graduated they will be able to apply what they have learned in the teacher preparation program during their first year of teaching. However, the transition from the teacher education program to the first year of teaching has been characterized as a type of “reality shock” because of the collapse of the missionary ideals formed during teacher training, caused by the harsh and rude reality of classroom life and by the realities of the social and political contexts of the school. This reality shock is often aggravated because novice teachers have not one, but two complex jobs during these years: teaching effectively and learning to teach. Thus, during the transition from training to teaching, novice teachers must be able to construct and reconstruct new knowledge and theory through participating in specific social contexts and engaging in particular types of activities and processes. This being so, novice TESOL teachers have special needs and interests that are different from their more experienced colleagues.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.233
Teacher spread0.225 · 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