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Record W2794714541

Principle-Centred Therapy (PCT): The Future for Therapeutic Interventions?

2017· article· en· W2794714541 on OpenAlexaff
Muzammil H. Syed, Umair Majid, Reda Siddiqui

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsVitalityMental healthPsychological resilienceStigma (botany)Psychological interventionIndependence (probability theory)Public relationsEconomic growthState (computer science)PsychologyPolitical scienceSocial psychologyPsychotherapistPsychiatryEconomics
DOInot available

Abstract

fetched live from OpenAlex

Vulnerable populations are victims of constant physical and verbal abuse by family members and the society at-large. These women are left to struggle with their mental well-being in isolation. Many are unable to receive the appropriate aid they need largely due to the lack of accessible services and the strong sense of negative stigma attributed to those seeking help. The community garden venture, offers vulnerable populations an opportunity to seek mental health aid in a communal space. Here, along with gardening and acquiring agriculture tools and techniques, they will be able to engage in Principle-Centred Therapy - focused on rescuing individuals from negative thoughts to building people up from a state of dependence, to independence, to a state of interdependence. The agricultural output will be sold in markets, contributing to strengthening community resilience through the integration of isolated members such as these vulnerable populations, and the overall economic vitality.

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)0.022
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.019
Scholarly communication0.0080.014
Open science0.0030.009
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0170.002

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 head0.084
GPT teacher head0.425
Teacher spread0.341 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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Same topicHuman-Animal Interaction StudiesFrench-language works237,207