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From Buddhist philosophy to Evidence-Based Techniques: Mindfulness-Based Stress Reduction Programs and Student Self-Regulation in Canadian Schools

2016· article· en· W2492255794 sur OpenAlexaboutno aff
Catherine Gidney

Notice bibliographique

RevueISCHE 2016 · 2016
Typearticle
Langueen
DomainePsychology
ThématiqueMindfulness and Compassion Interventions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMindfulnessBurnoutMindfulness-based stress reductionPsychologyGlobeDistressStress reductionMedical educationPedagogyClinical psychologyMedicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In March 2013, Andrew Campbell, a teacher at Major Ballachey Public School in Brantford, Ontario, wrote to the Toronto Globe and Mail about the mindfulness techniques he had introduced into his classroom.  In order to help students relax, learn to focus, concentrate and listen, Campbell would ring a bell, after which students sat quietly until the sound dissipated.  He then had students concentrate on breathing in and out with awareness. Campbell is hardly alone in giving voice to concerns about students’ emotional needs and classroom unrest. Only a month earlier the Toronto District School Board released the results of a survey of 100,000 students that found that almost three-quarters of those in grades 9 through 12 felt under significant stress all or some of the time [TDSB, 2013]. Students’ emotional distress has thus joined the more-recognized issue of teacher burnout as significant classroom issues. Given similar concerns throughout the English-speaking western world, educators have begun to turn to Mindfulness-Based Stress Reduction (MBSR) and Self-Regulation programs.  Some teacher education programs have introduced courses in contemplative approaches while programs such as .b (dot-be) in England and MindUp in the US and Canada are being piloted in a variety of schools. The Mindfulness-Based Stress Reduction (MBSR) program on which much of this activity is based was created in 1979 by Jon Kabat-Zinn at the University of Massachusetts Medical School. Used initially as a means to help patients with chronic pain, it has become one of the foremost treatments for individuals suffering from conditions such as depression, obsessive compulsive disorder, and anxiety [Kabat-Zinn, 2011].  Educators are also advocating its utility for the development of self-regulation [Lantieri; Shanker]. Focusing on developments in North America and Britain, this paper examines what MBSR is, where it came from, how it has spread and why it is gaining influence among educators. I argue that its current prominence is part of the broader thrust of psychology into school culture that has been occurring since the early twentieth century [Gleason, Rose, Thomson, Wright].  It is also, however, the more specific result of significant cultural and medical change since the 1960s, from the growing influence of Buddhist philosophy and alternative medicine, to new discoveries about the working of the brain, and changing attitudes towards discipline and authority. This paper would fit well under the category “Working, Thinking, Feeling Bodies.” The integration of MBSR in schools is about students learning to regulate themselves to calm their bodies and minds in order to contribute to a better learning environment (calm classrooms) and make themselves more effective learners (calm minds).  In controlling or even harnessing (rather than repressing) their emotions, the argument runs, students can become creative and productive citizens [Goleman; Schumpeter].  Examining the incorporation of MBSR-based programs into schools can thus help us better understand the ways in which new ideas about mental health are transforming our current education systems. Bibliography: Begley, Sharon. Train Your Mind, Change Your Brain: How a New science Reveals our Extraordinary Potential to Transform Ourselves . New York: Ballantine Books, 2008. Campbell, Andrew. “Breathe in, breathe out a way to conquer students’ stress,” Globe and Mail , 1 March 2013. Davidson, Richard and Sharon Begley.  The Emotional Life of Your Brain: How Its Unique Patterns Affect the Way You Think, Feel, and Live – and How You Can Change Them .  New York: Random House, 2012. Gleason, Mona. Normalizing the Ideal: Psychology, Schooling, and the Family in Post-war Canada . Toronto: University of Toronto Press, 1999. Goleman, Daniel.  Emotional Intelligence: Why it Can Matter More Than IQ .  10 th Ed. New York: Bantam Books, 2006. Kabat-Zinn, Jon. “Some Reflections on the Origins of MBSR, skillful Means, and the Trouble With Maps.” Contemporary Buddhism 12, 1 (May 2011): 289-90. Lantieri, Linda. Building Emotional Intelligence: Techniques to Cultivate Inner Strength in Children . Rose, Nikolas. Inventing Our Selves: Psychology, Power, and Personhood . Cambridge, MA: Cambridge University Press, 1998. Schumpeter.  “The mindfulness business.”  The Economist , 16 Nov. 2013, 73. Shanker, Stuart. Calm, Alert and Learning: Classroom Strategies for Self-Regulation. Toronto: Pearson, 2013. Thomson, Mathew.  Psychological Subjects: Identity, Culture, and Health in Twentieth-Century Britain . Oxford: Oxford University Press, 2006 Toronto District School Board (TDSB). “2011 Student Census, Grades 7-12: Previews.” 15/02/2013.  www.tdsb.on.ca/Portals/0/AboutUS/Research/2011StudentCensus.pdf. Wright, Katie.  The Rise of the Therapeutic Society .  Washington, D.C.: New Academia Publishing, 2011.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,154
Score d'incertitude au seuil0,981

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,011
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,004
Études des sciences et des technologies0,0190,008
Communication savante0,0060,002
Science ouverte0,0020,005
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,037
Tête enseignante GPT0,335
Écart entre enseignants0,298 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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