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Record W2588591009 · doi:10.1080/03098265.2017.1293626

Towards a critical service learning in geography education: exploring challenges and possibilities through testimonio

2017· article· en· W2588591009 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Geography in Higher Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsLakehead UniversityUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto
KeywordsExperiential learningSociologyService-learningNeoliberalism (international relations)Experiential educationPedagogyTransformational leadershipPlace-based educationPower (physics)Power structureEngineering ethicsPublic relationsSocial sciencePolitical scienceEnvironmental educationEngineering

Abstract

fetched live from OpenAlex

There has been an increasing interest in exploring the transformational possibilities of experiential learning approaches like service learning, across post-secondary education, including geography. At the same time, scholars caution that such initiatives can entrench neoliberalism, white supremacy and other power structures and call for implementing a critical service learning (CSL) approach that is rooted in action against injustice. In response, this paper uses testimonio methodology to explore the experiences of a student and instructor engaging in a graduate geography course that implements CSL. We demonstrate how CSL is a complex process that is mired in the very power structures and institutional barriers it attempts to disrupt. Nonetheless, CSL creates opportunities for social change in the classroom and community, which make it a promising pedagogical strategy for geographers aiming to create alternative teaching approaches in their classrooms.

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.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.162
GPT teacher head0.391
Teacher spread0.229 · 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