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Record W7055686105

The Curative Power of Play: The Voices of Therapists around the World

2016· article· en· W7055686105 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2016
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Thematic analysisFocus groupPower (physics)Focus (optics)Qualitative researchDevaluationFacilitation
DOInot available

Abstract

fetched live from OpenAlex

It is important for all therapists to be culturally sensitive to children and their eco-systems as well as to be aware of the current trends and the changing application of play as a healing agent. The focus of this study is on the development of a current description of play by therapists from a global perspective through a thematic analysis of focus groups resulting in an explanation of how play contributes to healing and the practice of therapy. In this study, the naturalistic method of qualitative research (Bowers, 2009; Lincoln & Guba, 1985) was applied to the study of play around the world, resulting in a new description of “play”. The analyses of focus group meetings in Morocco, Singapore, Hong Kong, Canada and Europe resulted in the emergence of 8 themes: productivity through play, contribution to development, facilitation of the relationship through play, honouring diversity, collaboration between children and caregivers, stimulation through technology-based play, relaxation provided by play, and the devaluation of play. These themes, which are presented through the “voices of the participants”, together with the literature review, serve to enrich the changing description of play. With participants from all continents, a current global perspective highlights the changes that play, both as a concept and as a healing agent, has undergone and will continue to do so. New information emerged suggesting that technology has become a worldwide focus for children but has a paradoxical effect on their relationships.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.205
Teacher spread0.197 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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