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A Mindful Community of Praxis Model for Wellbeing in the Academy

2018· article· en· W4401014326 on OpenAlexaboutno aff
Rachel Crowder

Bibliographic record

VenueJournal of educational thought. · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisMindfulnessIndividualismReflexivitySociologyNeoliberalism (international relations)BuddhismResistance (ecology)Psychological interventionPsychologySocial sciencePolitical sciencePsychotherapistLaw

Abstract

fetched live from OpenAlex

The reality of high levels of stress in the Canadian academy and elsewhere are pervasive and problematic. In response, increasing numbers of academic institutions are turning to mindfulness-based interventions to encourage self-care. However, such individualist approaches based on a neoliberal model of self-care do not address the faculty isolation, lack of time, and casualization of the labour force that studies cite as some probable causes for damaging levels of overwork and stress. I provide a critical reflection on the weaknesses of individualist versions of mindfulness programming to address stress in the academy and consider alternative approaches, including Freire’s popular education and engaged Buddhism models, in order to realize a more social justice and community-based approach to well-being. I propose a Communities of Praxis Framework that integrates critical consciousness, communal resistance, compassionate action, as well as mindfulness-based and other reflexive practices to improve both individual well-being and systemic change in the academy.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.116
GPT teacher head0.458
Teacher spread0.343 · 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 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

Citations1
Published2018
Admission routes1
Has abstractyes

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