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Record W4387872316 · doi:10.1080/10437797.2023.2260850

Field Note—Talk It Out Counseling Clinic: A Field Education Innovation

2023· article· en· W4387872316 on OpenAlexaboutno aff
Lin Fang, Catherine Schmidt, Yu Lung, Lynn Nguyen, G. Hui, Sylvia Delgado

Bibliographic record

VenueJournal of Social Work Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsSocial workStaffingGeneral partnershipMedical educationCurriculumField (mathematics)Work (physics)Public relationsNursingSociologyMedicinePolitical sciencePedagogyEngineering

Abstract

fetched live from OpenAlex

The COVID-19 pandemic introduced an unforeseen challenge to social work field education and drastically changed the landscape of social work direct practice. In March 2021, University of Toronto’s Factor-Inwentash Faculty of Social Work launched the Talk It Out Counseling Clinic (the Clinic), training MSW students to provide short-term counseling and wellness workshops to residents in the Greater Toronto Area. Based on a community partnership model with an antiracism and trauma-informed service orientation, the Clinic provides services targeting those who face multiple barriers to health and equity and those who belong to Black and other racialized communities. In this paper, we introduce the Clinic, including its staffing and structure, partnership model, and training curriculum, present operation updates, and discuss future directions.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.700
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.061
GPT teacher head0.454
Teacher spread0.393 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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