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Record W4313680798 · doi:10.26443/ijwpc.v10i1.370

Sharing circles as healing spaces: an ode

2023· article· en· W4313680798 on OpenAlexvenueno aff
Kaveh Monshat

Bibliographic record

VenueInternational Journal of Whole Person Care · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsOdeComputer scienceMedicineApplied mathematicsMathematics

Abstract

fetched live from OpenAlex

ince time immemorial our hunter-gatherer ancestors have held council with ritual regularity.[1] Democratically, they sat in a circle, talked respectfully in turn, and grieved and rejoiced in song and dance.Consciously coming together every few days was an ineluctable rhythm of the symphony of necessarily interdependent lives.To participate in a sharing circle with reliable frequency honours our longing to be seen in our suffering and our joy, and our needs for belonging, understanding and compassion.A sharing circle is above all a safe space of connection with ourselves and others.Safety is supported by confidentiality, being listened to without interruption, and the shared intention to not be judgemental towards what arises in our own or others' minds.Sadly, modern lives are marked by disconnection.Our memories of a pre-agricultural life in small clans woven into the ecosystem have faded.Our self-image, especially in the West, is that of the individual: separate from others and the universe, and thus ultimately alone with our feelings and thoughts.Cultural norms and edifices of law and morality concretise individualism and promote atomisation and interpersonal disconnection.

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)0.006
metaresearch head score (Gemma)0.006
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: Other
Teacher disagreement score0.027
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0150.055
Scholarly communication0.0270.032
Open science0.0020.027
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0160.003

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 head0.086
GPT teacher head0.348
Teacher spread0.262 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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