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Record W2096146723 · doi:10.1177/000494410905300306

‘Even if No-One Looked at it, it was Important for My Own Development’: Pre-Service Teacher Perceptions of Professional Portfolios

2009· article· en· W2096146723 on OpenAlexaffabout
Stephanie Chitpin, Marielle Simon

Bibliographic record

VenueAustralian Journal of Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPortfolioPerceptionProfessional developmentPsychologyIdentity (music)Service (business)PedagogyReflective practiceSociologyMedical educationMedicineBusiness

Abstract

fetched live from OpenAlex

This study was conducted with 15 pre-service teachers enrolled in the Reflective Practice Seminar in primary/junior division at a Canadian university. Data were gathered through interviews, informal classroom conversations and reflections over an eight-month period. This article considers the issue of how constructing a professional portfolio helps pre-service teachers examine their identity as learners. The findings highlight their perceptions around purpose, process and impact. Despite the overwhelming nature of reflection, pre-service teachers in this study said that constructing a professional portfolio challenged them to cyclically reflect on taken-for-granted assumptions, articulate growth and gain perspectives. They also recommended that exemplars be provided for improvement as well as increased instructor and peer feedback within the reflective seminar.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.030
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.006
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.053
GPT teacher head0.433
Teacher spread0.379 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2009
Admission routes2
Has abstractyes

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