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Record W1836731327 · doi:10.1921/gpwk.v24i2.777

One method, two worlds

2014· article· en· W1836731327 on OpenAlexaffabout
Annie Pullen Sansfaçon, Valérie Roy, Dave Ward

Bibliographic record

VenueGroupwork · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversité LavalUniversité de Montréal
Fundersnot available
KeywordsContext (archaeology)Work (physics)Social worldsSociologyCounterpointSocial groupPsychologySocial psychologyPublic relationsPolitical scienceSocial scienceGeographyEngineeringPedagogy

Abstract

fetched live from OpenAlex

Looking at practices in different locations is beneficial since it helps challenge assumptions that we may take for granted. Groupwork, as a method of social work, is specifically interesting to explore in the light of different contexts since, like social work, it may or may not translate well across cultures. This paper draws from data collected in the context of a research project that aimed to describe the current state of social work with groups in Quebec and to explore trends within social work with groups elsewhere in the world. Specifically, it focuses on the exploration of practices in Quebec and discusses them in relationship to those found in the USA, as a counterpoint. Our findings highlight some differences and similarities between Quebec and the USA with regard to groupwork, which leads us to discuss a range of factors that may impact on groupwork in the different contexts. Of these, the differences of organisational context and organisation of services have emerged as particularly noteworthy, which echoes findings in general social work literature with regard to the importance of local contexts on the definition of practice itself.

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)0.016
metaresearch head score (Gemma)0.023
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: Empirical · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0060.010
Scholarly communication0.0140.014
Open science0.0040.016
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0700.019

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 head0.053
GPT teacher head0.422
Teacher spread0.368 · 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
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
Published2014
Admission routes2
Has abstractyes

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