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Advances in Research on Teaching

2012· book-chapter· en· W4298877914 on OpenAlexaboutno aff

Bibliographic record

VenueAdvances in research on teaching · 2012
Typebook-chapter
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingNarrativeEmeraldSociologyCitationCurriculumGirlNarrative inquiryMedia studiesHistoryLibrary sciencePsychologyArtPedagogyLiteratureComputer science

Abstract

fetched live from OpenAlex

Citation (2012), "Advances in Research on Teaching", Isabelle Young, M., Joe, L., Lamoureux, J., Marshall, L., Dorothy Moore, S., Orr, J.-L., Mary Parisian, B., Paul, K., Paynter, F. and Huber, J. (Ed.) Warrior Women: Remaking Postsecondary Places through Relational Narrative Inquiry (Advances in Research on Teaching, Vol. 17), Emerald Group Publishing Limited, Bingley, p. iii. https://doi.org/10.1108/S1479-3687(2012)0000017019 Publisher: Emerald Group Publishing Limited Copyright © 2012, Emerald Group Publishing Limited Book Chapters Warrior Women: Remaking Postsecondary Places through Relational Narrative Inquiry Advances in Research on Teaching Advances in Research on Teaching Copyright Page Testimonials Acknowledgements Dedication Group Photo from Winnipeg Fall 2008 Foreword to Warrior Women Not Tomorrow … Today Introducing Ourselves: Storied Experiences Shaping the Stories We Live By Co-Composing Relational Narrative Inquiry Reclaiming and Maintaining Our Aboriginal Ancestry Reclaiming Our Ancestral Knowledge and Ways: Aboriginal Teachers Honouring Children, Youth, Families, Elders, and Communities as Relational Decision Makers Becoming “Real” Aboriginal Teachers: Counterstories as Shaping New Curriculum Making Possibilities Being Included in and Balancing the Complexities of Becoming an Aboriginal Teacher Sharing Our Forward Looking Stories References Learning to See the Little Girl in the Moon: An Afterword to Warrior Women About the Contributors

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)0.033
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.000
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.029
Insufficient payload (model declined to judge)0.0010.004

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 head0.448
GPT teacher head0.626
Teacher spread0.177 · 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.

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

Citations2
Published2012
Admission routes1
Has abstractyes

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