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Comparative Analysis of Ethical Provisions Governing the Activities of a Counseling Psychologist in Social Networks in Native and Foreign Codes of Ethics

2023· article· en· W4403813428 on OpenAlexaboutno aff
N.V. Klueva, Alina Pavlova

Bibliographic record

VenueHerald of Omsk University Series Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsEthical codePsychologyEngineering ethicsPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

The article presents a comparative analysis of the ethical provisions governing the activities of a consultant psychologist on social networks. The analysis was carried out on the basis of the content of the principle of publicity of eight ethical codes of Russian professional associations of psychologists, psychologists-consultants and psychotherapists. It was concluded that these ethical provisions are duplicated in most cases, and also regulate the public behavior of a specialist in general, suggesting activities on social networks, but not specifying it. A review of methodological recommendations on the use of social networks by foreign psychological communities is provided, where this type of activity is distinguished as a separate principle or position, and additional methodological recommendations have been developed in some countries. The review is based on the example of professional associations of the USA, Great Britain and Canada. It is indicated on the need to strengthen the educational component in the field of consulting ethics, the formation of effectively working professional associations, their response and supervision of complex cases, informing clients about the informed choice of a specialist.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.089
GPT teacher head0.402
Teacher spread0.313 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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