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Record W2747288002 · doi:10.1921/gpwk.v26i3.1039

Group Work Camp: A once in a blue moon unique experience

2017· article· en· W2747288002 on OpenAlexaff
Cynthia Martiny

Bibliographic record

VenueGroupwork · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsExperiential learningPassionWork (physics)PsychologyGroup workSummer campMutual aidAssociation (psychology)PedagogyMedical educationSocial psychologyEngineeringMedicinePolitical scienceDevelopmental psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Abstract: In this article, a two and a half day experiential Group Work Camp experience, sponsored by the International Association of Social Work with Groups (IASWG) and held for professional groupworkers, educators, and students is described after pinpointing motivations for attending and participant benefits including self-care, learning to learn from experiences and making connections. Group Work Camp activities offer participation in nondeliberative forms of practice which stimulate learning in diverse and creative ways. In conclusion, it is strongly suggested to multiply Group Work Camp opportunities for groupworkers to enhance practices, load toolboxes, integrate knowledge, develop competencies, increase networks, and to maintain and enhance professional passion for groupwork as an alternative to traditional trainings.Keywords: Group Work Camp; nondeliberative practice; social work with groups; groupwork

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)0.003
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.006
Scholarly communication0.0040.003
Open science0.0020.011
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.002

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 head0.054
GPT teacher head0.395
Teacher spread0.341 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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