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Record W2100190970

Aistimatoom: the embodiment of Blackfoot prayer as wellness

2014· dissertation· en· W2100190970 on OpenAlexfundno aff
Angela Grier

Bibliographic record

VenueOpen ULeth Scholarship (OPUS) (University of Lethbridge) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersUniversity of Lethbridge
KeywordsPrayerIndigenousIdentity (music)AutonomyPsychologySociologySocial psychologyAestheticsPolitical scienceLawArtReligious studies
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this thesis was to identify culturally appropriate means of engaging with Blackfoot and Indigenous clients seeking counselling.Blackfoot prayer is symbolic of the entire sacred worldview and universe of the Blackfoot people.This research intended for a holistic understanding of wellness to emerge from the study of Aatsimoiskaan (Prayer).This thesis employed an Indigenous research paradigm to ensure that the methodology was culturally appropriate.The research question was, "What does prayer say about wellbeing?"The researcher interviewed four members of sacred societies within the Blackfoot Confederacy.The interviews were qualitative and interpreted hermeneutically.The research identified five aspects of Blackfoot wellness to guide clients towards living a meaningful Indigenous life.Prayer provides practitioners with: 1) key ingredients of Blackfoot citizenry; 2) co-creation and autonomy in self healing; 3) decolonization of identity, self, and life; 4) conscious purpose; and 5) healthy identity formation.The findings of this research have practical use for counsellors who work directly with Indigenous clients.Any changes in practice and program delivery, which include these findings, will result in better outcomes for Indigenous, specifically Blackfoot, people seeking counsel.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0080.001
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0010.001
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 head0.024
GPT teacher head0.320
Teacher spread0.296 · 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.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

Explore more

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