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Record W6999582049

Conquering Demons Through Spirit: A Journey To Mental Wellness With Aboriginal Spirituality

2015· article· en· W6999582049 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Fusible alloyHyporeflexiaGestational periodDiafiltrationPretext
DOInot available

Abstract

fetched live from OpenAlex

This narrative life story is an exploration of a 50-year old Métis women’s 19-year healing\njourney. It focuses on the role Aboriginal spirituality plays in relation to three critical factors in\nher healing process: fostering a sense of belonging, awakening to Spirit and belief in a power\ngreater than oneself and nurturing creative, artistic approaches to the healing process. Naa noo\nshka sens diigo, Meehegun Doodem’s healing journey and addictions recovery, which began in\n1995 after a suicide attempt, is triangular in form. Typical Western medical and therapeutic\ninterventions were complemented by a 12-step program and Aboriginal spirituality, each\ncomponent representing an equally essential part of her journey to wellness. Drumming,\npowwows, spiritual ceremonies including sweat lodges, fasting and pipe ceremonies, continue to\nbe as important to her ongoing healing process as the support of a 12-step program and previous\ninterventions provided by psychologists, psychiatrists and medical doctors. For the past 24\nmonths, Naa noo shka sens has been living free of all prescribed medications and therapy\nsessions with medical professionals; however, she continues to participate in a 12-step program\nand actively engages in Aboriginal spiritual ceremonies and activities.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0220.014
Scholarly communication0.0060.004
Open science0.0010.009
Research integrity0.0020.008
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.283
Teacher spread0.266 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueArca (British Columbia Electronic Library Network)Same topicIndigenous Health, Education, and RightsFrench-language works237,207