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Record W2046163377 · doi:10.1606/1044-3894.98

Clinical, Ethical, and Legal Issues in E-therapy

2003· article· en· W2046163377 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

VenueFamilies in Society The Journal of Contemporary Social Services · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConfidentialityDutyHarmLegislationDuty of careSocial workWork (physics)Engineering ethicsPublic relationsPolitical scienceProfessional ethicsInformed consentLawMedicinePsychologyAlternative medicineEngineering

Abstract

fetched live from OpenAlex

In recent years, many social workers have joined the ranks of virtual or e-therapists. While this offers exciting new opportunities for social work practice, the advent of e-therapy has come with a host of challenges particular to Internet communication that may not be reconcilable with current social work regulation. This paper reviews the social work codes of ethics in both the United States and Canada, legislation governing treatment, and case law with respect to several important issues related to e-therapy. The paper begins with a discussion of jurisdictional issues and expertise to practice e-therapy. Next, it suggests that if e-therapy fits within the purview of acceptable social work practice, the establishment of therapist–patient relationships creates professional duties of care owed to patients and to the public. Four of the most critical duties in a therapeutic encounter are considered: the duty to obtain informed consent, the duty to maintain confidentiality, the duty to warn third parties of harm, and the duty to maintain professional boundaries.

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)0.012
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.061
GPT teacher head0.422
Teacher spread0.361 · 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