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Record W2160352461 · doi:10.1177/1066480710364090

Getting to Know O’Connor: Experiencing the Ecosystemic Play Therapy Model With Urban First Nations People

2010· article· en· W2160352461 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Family Journal · 2010
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPsychosocialContext (archaeology)Family therapyPsychologyPsychotherapistHistory

Abstract

fetched live from OpenAlex

Children’s play behaviors are generally fun for them, but the same cannot be said for children who need clinical help. Play therapy seeks to resolve psychosocial difficulties and reestablish a child’s ability to play and function normally (O’Connor, 2000). Ecosystemic play therapy (EPT) integrates a variety of techniques and theories to create a single model that ‘‘addresses the total child within the context of the child’s ecosystem’’ (O’Connor, 2000, p. 87). Particularly when balancing between a culture of origin, a dominant culture, and the needs of an acculturating child, it is important to use play therapy models that include the caregivers in the therapeutic process (O’Connor, 2005b). The ecosystemic model is that caliber of therapy. This article will act as a catalyst for becoming reacquainted with the ecosystemic model, including a brief history, the major components and techniques, and a case example involving an Urban First Nations family.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.267
Teacher spread0.252 · 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