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Record W2618399631

BUILDING BRIDGES FOR WELLNESS THROUGH COUNSELLING AND PSYCHOTHERAPY

2008· article· en· W2618399631 on OpenAlexaboutno aff
Lina Shuja

Bibliographic record

VenueMarket Forces · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)MulticulturalismPreferenceDiversity (politics)TranspersonalSociologyPsychotherapistMedical educationPsychologyPedagogyMedicineGeographyAnthropologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The International Conference, “Building Bridges for Wellness through Counselling and Psychotherapy” was held at the Garden City Bangalore, India in the second week of January 2008. This conference was a collaborative initiative of Ontario Institute for Studies in Education–University of Toronto, Bangalore University-India and Sampurna Montfort College–Bangalore India. The conference aimed at sharing research and practice in counseling and psychotherapy including traditional healing practices within a context of multiculturalism and diversity. The preference was to integrate the religious, spiritual and transpersonal approaches in theory and practice for the counselors and psychotherapists worldwide.

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)0.009
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0050.005
Open science0.0010.010
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0090.002

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 head0.043
GPT teacher head0.361
Teacher spread0.318 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2008
Admission routes1
Has abstractyes

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