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Record W4393252505 · doi:10.3167/trans.2023.13010203

Critical Pedagogies for Mobilities Studies

2023· article· en· W4393252505 on OpenAlexaboutno aff
Judith A. Nicholson

Bibliographic record

VenueTransfers · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsMobilitiesSociologyEconomic geographyPsychologySocial scienceGeography

Abstract

fetched live from OpenAlex

Abstract A dozen scholars of mobilities studies traveled to Waterloo (Canada) in 2018 for Mobilities Pedagogies: A Symposium on Theories, Practices, and Networks. Discussion questions focused on pedagogies for mobilities studies, mobilities as pedagogies, and mobilizing pedagogies. This article synthesizes participants’ written responses to these questions and our subsequent in-person conversations. It describes our critical pedagogies and how they are inspired by the mobile ontology of theories and methods for mobilities studies and by the project of critical pedagogy as means for justice, community, hope, and compassion. Walking and other journeys together emerge as core pedagogical strategies from among other mobile encounters, collaborations, and creative ruptures for encouraging critical engagement and reflexivity. Concluding remarks broach how our critical pedagogies might intersect with movements for mobility justice and for decolonization in postsecondary 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 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)0.033
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.002
Science and technology studies0.0210.087
Scholarly communication0.0150.012
Open science0.0020.014
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0080.001

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 head0.489
GPT teacher head0.551
Teacher spread0.063 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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