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Record W3198331697

Stories of Transformation: Memories of a Global Citizenship Practicum

2014· book· en· W3198331697 on OpenAlexaboutno aff
Lloyd Kornelsen

Bibliographic record

VenueWinnSpace (University of Winnipeg) · 2014
Typebook
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsPracticumCitizenshipTransformation (genetics)PsychologyPolitical scienceSociologyMathematics educationPoliticsLawChemistry
DOInot available

Abstract

fetched live from OpenAlex

Eleven years ago the author took 13 high school students from the University of Winnipeg (Canada) on a practicum trip to Costa Rica. Eight and a half years later he revisited the experience with many of those people. Stories of Transformation: Memories of a Global Citizenship Practicum is an account of what they remembered and what it means for global citizenship education. Kornelsen contextualizes his account by examining contested notions of world citizenship and exploring the ethical and pedagogical challenges of international practicums. Therewith, Kornelsen also introduces readers to contributions that leading philosophers and educators have made to our understanding of what it is to prepare young people for citizenship in a globalizing world. Stories of Transformation: Memories of a Global Citizenship Practicum is based on research for which Kornelsen was awarded the Manitoba Education Research Network prize for outstanding achievement in education research – research that examined the intersection of experiential learning, international practicums and cosmopolitanism. This book will be of special interest to global educators: high school teachers and administrators, facilitators of study abroad and service learning courses (at high school and university levels), members of faculties of education, and policy consultants for state and provincial departments 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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.571
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.028
GPT teacher head0.290
Teacher spread0.262 · 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
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

Citations5
Published2014
Admission routes1
Has abstractyes

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