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Record W1990148536 · doi:10.1080/17425960801976339

Using Poetic Representation to Support the Development of Teachers' Knowledge

2008· article· en· W1990148536 on OpenAlex
Tim Hopper, Kathy Sanford

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

VenueStudying Teacher Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPoetryRepresentation (politics)Mathematics educationPedagogyTeacher educationPsychologyProcess (computing)Teaching methodProfessional developmentStudent teacherFaculty developmentComputer scienceArtLiterature

Abstract

fetched live from OpenAlex

This article reports the influence of school-integrated teacher education (SITE) courses on student teachers' initial experiences of learning how to teach. We analyse data from five student teachers who reflect back on their experiences of learning to teach through the integrated teaching and learning experiences of SITE courses. The article presents their collective voices in poetic form to capture how they articulated their growth as teachers and their subsequent confidence in the role of teacher. We report insights into how the poem influenced 28 beginning student teachers upon entering SITE courses in their teacher education program. We analyze how this poetic representation of research findings enabled a self-study process to develop for the participants and how the poem passed on a theory of teacher development that reassures and prepares the student teachers who follow.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.133
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.408
GPT teacher head0.490
Teacher spread0.082 · 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