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Record W4255681839 · doi:10.1017/s0261444806254119

Teacher education

2007· article· en· W4255681839 on OpenAlexaboutno aff

Bibliographic record

VenueLanguage Teaching · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsnot available
Fundersnot available
KeywordsTeacher educationSociologyPedagogySocial studiesMulticultural educationMulticulturalismPsychology

Abstract

fetched live from OpenAlex

07–76Banister, Savilla, Rachel A. Vannatta & Cynthia Ross (Bowling Green State U, USA), Testing electronic portfolio systems in teacher education: Finding the right fit. Action in Teacher Education (Association of Teacher Educators), 27.4 (2005), 81–90. 07–77Carroll, David M. (Western Washington U, USA), Developing joint accountability in university–school teacher education partnerships. Action in Teacher Education (Association of Teacher Educators), 27.4 (2005), 3–11. 07–78Clarke, Marie & Sheelagh Drudy (U College Dublin, Ireland), Teaching for diversity, social justice and global awareness. European Journal of Teacher Education (Routledge/Taylor & Francis) 29.3 (2006), 371–386. 07–79Farrell, Thomas (Brock U, Canada; tfarrell@brocku.ca ), ‘The teacher is an octopus’: Uncovering pre-service English language teachers’ prior beliefs through metaphor analysis problems. RELC Journal (Sage) 37.2 (2006), 236–248. 07–80Fox, Rebecca K. (George Mason U, USA) & Rosario Diaz-Greenberg, Culture, multiculturalism, and foreign/world language standards in U.S. teacher preparation programs: Toward a discourse of dissonance. European Journal of Teacher Education (Routledge/Taylor & Francis) 29.3 (2006), 401–422. 07–81Hampel, Regine & Ursula Stickler (The Open U, UK), New skills for new classrooms: Training tutors to teach languages online. Computer Assisted Language Learning (Routledge/Taylor & Francis) 18.4 (2005), 311–326. 07–82Harrison, Judy, Hal McAffee, Gary Smithey & Charles Weiner (Henderson State U, USA), Assessing candidate disposition for admission into teacher education: Can just anyone teach?Action in Teacher Education (Association of Teacher Educators), 27.4 (2005), 72–80. 07–83Hubbard, Philip (Stanford U, USA), A review of subject characteristics in CALL research. Computer Assisted Language Learning (Routledge/Taylor & Francis) 18.5 (2005), 351–368. 07–84Humphrey, Neil (U Manchester, UK), Paul Bartolo, Peter Ale, Colin Calleja, Thomas Hofsaess, Vera Janikova, Annemieke Mol Lous, Vida Vilkiene & Gun-Marie Wetso, Understanding and responding to diversity in the primary classroom: An international study. European Journal of Teacher Education (Routledge/Taylor & Francis) 29.3 (2006), 305–318. 07–85Jones, Phyllis (U South Florida, USA; pjones@banshee.sar.usf.edu ),Elizabeth West & Dana Stevens, Nurturing moments of transformation in teachers – Comparative perspectives on the challenges of professional development. British Journal of Special Education (Blackwell) 33.2 (2006), 82–90. 07–86Kyriakides, Leonidas, Demetris Demetriou & Charalambos Charalambous (U Cyprus, Cyprus), Generating criteria for evaluating teachers through teacher effectiveness research. Educational Research (Routledge/Taylor & Francis) 48.1 (2006), 1–20. 07–87O'Donnell, James & Robert Gallegos (New Mexico State U, USA), Project MOVEMOS: A university–public school collaboration. Action in Teacher Education (Association of Teacher Educators), 27.4 (2005), 12–22. 07–88Singh, Gurmit ( Gurmit.sidhu@gmail.com ) & Jack Richards, Teaching and learning in the language teacher education course room: A critical sociocultural perspective. RELC Journal (Sage) 37.2 (2006), 149–175. 07–89Varghese, Manka M. (U Washington, Seattle, USA), Bilingual teachers-in-the-making in Urbantown. Journal of Multilingual and Multicultural Development (Multilingual Matters) 27.3 (2006), 211–224. 07–90Wolyie Hussein, Jeylan(Haramaya U, Ethiopia), Hopes and challenges in using action research: The outcome of attempting to help in-service teachers learn how to design, evaluate and use reading comprehension questions collaboratively. Educational Action Research (Routledge/Taylor & Francis) 14.3 (2006), 377–393.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.571
Threshold uncertainty score0.612

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.5710.418

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 head0.012
GPT teacher head0.376
Teacher spread0.363 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2007
Admission routes1
Has abstractyes

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