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Record W2594464918 · doi:10.22230/cjc.2017v42n1a3090

Contemplation as Educational Activism within Communication Studies

2017· article· en· W2594464918 on OpenAlexaffvenueabout
Ajit Pyati

Bibliographic record

VenueCanadian Journal of Communication · 2017
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsWestern University
Fundersnot available
KeywordsContemplationTransformative learningConversationMeaning (existential)Field (mathematics)SociologyEpistemologyPedagogyEnvironmental ethicsPhilosophyCommunication

Abstract

fetched live from OpenAlex

Critical reflection, contemplation, and inner transformation are vitally important for Canadian communication studies, particularly with regard to issues of pedagogy. To address this concern, this article brings the field of contemplative education into conversation with communication studies. Contemplative education is a small but growing field within the academy that deals with issues of inner meaning and purpose. The article provides examples of how these two fields can have meaningful interactions and is a call for more scholars and instructors in communication studies to explore contemplative education’s potentially transformative applications. Ultimately, contemplative education can be seen as a form of educational activism within Canadian communication studies, linking the robust critical tradition of the field with a much-needed focus on inner transformation and deeply personal forms of learning.

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)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.088
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0190.108
Scholarly communication0.0170.010
Open science0.0020.016
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0040.000

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 head0.134
GPT teacher head0.431
Teacher spread0.297 · 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 designNot applicable
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

Citations1
Published2017
Admission routes3
Has abstractyes

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