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Record W2759441343 · doi:10.11575/prism/5321

Critical Thinking in International Contexts: Poly-Ethnographic Accounts of Multicultural Research Collaboration

2016· article· en· W2759441343 on OpenAlexaboutno aff
Jon Woodend, Lisa Fedoruk, Avis Beek, Xueqin Wu, Sylvie Roy, Janet Groen, Xiang Li

Bibliographic record

VenuePRISM (University of Calgary) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Assessments
Canadian institutionsnot available
FundersBeijing Normal University
KeywordsEthnographyMulticulturalismSociologyBeijingPedagogyDimension (graph theory)Power (physics)Library sciencePolitical scienceAnthropologyChina

Abstract

fetched live from OpenAlex

In December 2015, selected doctoral students and faculty from Queensland University of Technology (QUT) and the University of Calgary (U of C) participated in a seminar hosted by Beijing Normal University (BNU) for interdisciplinary/international collaboration. In this paper the U of C participants outlined their reflections of this experience through a poly-ethnographic approach, with consideration for the Twelfth Dimension Framework for School Systems Success. The main themes that emerged included the role of culture and the impact of power dynamics when working academically on an international level.

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)0.019
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0190.024
Scholarly communication0.0120.010
Open science0.0020.015
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.393
Teacher spread0.348 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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