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Record W3121112609 · doi:10.4236/jss.2021.91005

The Integration of Mainstream Psychotherapies in an Epistemological Framework

2021· article· en· W3121112609 on OpenAlexaff
Zhizhong Kai

Bibliographic record

VenueOpen Journal of Social Sciences · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMainstreamPsychotherapistConstruct (python library)EpistemologyPsychologyPlan (archaeology)Management scienceComputer sciencePhilosophyEngineering

Abstract

fetched live from OpenAlex

Different forms of psychotherapy often construct theories and techniques based on different epistemological frameworks. Because of epistemological conflicts, some psychotherapy seems incompatible with each other. However, the problems encountered in psychotherapy are complex and multifaceted, and each psychotherapy has shown its shortcomings. So many researchers and practitioners were trying to use a combination of treatment techniques and integrate various psychotherapy in a treatment plan. Integrating different schools of psychotherapy requires an epistemological framework that can accommodate different psychotherapy to help them develop their strengths and prevent conflict. This paper proposed an epistemological framework based on system theory and the uncertainty principle. Through this framework, this paper attempted to reinterpret some of the mainstream psychotherapy and identified the underlying factors that are effective in their treatment. Finally, this paper put forward the methods and directions of integrating these psychotherapies into an epistemological framework.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.124
GPT teacher head0.487
Teacher spread0.363 · 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 designTheoretical or conceptual
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

Citations1
Published2021
Admission routes1
Has abstractyes

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