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Record W4391905994 · doi:10.55016/ojs/ajer.v46i4.54829

Teachers' Secondment Experiences

2000· article· en· W4391905994 on OpenAlexaffvenue
Salvador J. Badali, B. E. J. Housego

Bibliographic record

VenueAlberta Journal of Educational Research · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyMathematics educationPedagogy

Abstract

fetched live from OpenAlex

This article explores seconded teachers' experiences as university instructors and faculty advisors in the Faculty of Education at the University of British Columbia. Data were collected in three one-hour semistructured interviews with each of the 17 participants. The purpose of the study was to understand more clearly the experiences of seconded teachers in the teacher education program through the use of Glaser and Strauss's (1967) grounded theory approach. Seven phases or aspects of secondment are outlined: seeking the position; preparing for secondment; expressing self-doubts; adjusting to the tempo and workload; working with adult learners; looking for support; and returning to the school community. Overall, the themes that emerged in this research highlight five central issues: the contrast between university and school cultures; the value of reflection on practice; the strength of seconded teachers' commitment to classroom teaching; the stability and nature of seconded teachers' professional identities; and the usefulness of secondment as professional development.

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)0.004
metaresearch head score (Gemma)0.015
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 score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.005
Scholarly communication0.0080.004
Open science0.0010.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.084
GPT teacher head0.472
Teacher spread0.388 · 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

Citations11
Published2000
Admission routes2
Has abstractyes

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