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Record W2069674559 · doi:10.1080/02607470701259408

International Network of Teacher Education Institutions: past, present and future

2007· article· en· W2069674559 on OpenAlexafffund
Rosalyn McKeown, Charles Hopkins

Bibliographic record

VenueJournal of Education for Teaching International Research and Pedagogy · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsYork University
FundersYork University
KeywordsSustainabilityWork (physics)Teacher educationEducation for sustainable developmentCommissionPolitical scienceSustainable developmentPublic relationsPedagogyHigher educationSociologyEngineering

Abstract

fetched live from OpenAlex

This paper examines the history, activities and future interests of the UNITWIN/UNESCO Chair on Reorienting Teacher Education to Address Sustainability and the associated International Network (IN) of Teacher Education Institutions. In 1998, the United Nations Commission on Sustainable Development work programme on education for sustainable development (ESD) requested UNESCO to develop guidelines for reorienting teacher training to address sustainability. This responsibility was passed to the UNITWIN/NESCO Chair who established the IN. Participants recorded their efforts in journals, chronicling successes and failures. In 2004, IN members were sent a survey requesting information about what worked, what did not work and insights and recommendations for other institutions of teacher education. The responses were synthesized in Guidelines and recommendations for reorienting teacher education to address sustainability. Several UN agencies and regional offices have incorporated these Guidelines into their efforts. Members of the IN are now engaging other institutions of teacher education through workshops and mentoring to reorient teacher education.

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 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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.451
Teacher spread0.407 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations16
Published2007
Admission routes2
Has abstractyes

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