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Record W2729718323 · doi:10.25071/1916-4467.40283

Book Review: Inspiration and Innovation in Teaching and Teacher Education

2016· article· en· W2729718323 on OpenAlexaffvenueabout
Beverley Brenna

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCurriculumField (mathematics)SociologyDemocracyTeacher educationPoliticsPedagogySustainabilityEngineering ethicsPolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

Inspiration and Innovation in Teaching and Teacher Education is an edited book by Karen Goodnough, Gerald Galway, Cecile Badenhorst, and Rob Kelly (2013) presenting a collection of 13 chapters, with three overview chapters in sections titled: “The Essence of Teacher Education”, “Innovative Practices in Teacher Education”, and “Emerging Issues in Teacher Education”. The book serves to remind readers of the history of teacher education as a landscape for new and future endeavors in the field, and it offers current research to address provocative questions related to a profession whose first responsibilities are presented as both political, in terms of the future of democracy, and personal, in terms of students who demonstrate particular values such as a sense of responsibility for themselves, others and the land through sustainability, as well as the skills to live those values. This text is a comprehensive and contemporary read and, as such, is highly recommended for Canadian curriculum scholars and students as well as others interested in the field of 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)0.001
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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)0.0000.000

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 head0.027
GPT teacher head0.290
Teacher spread0.263 · 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

Citations1
Published2016
Admission routes3
Has abstractyes

Explore more

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