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Record W4200155281 · doi:10.1007/978-3-030-79622-8_8

Decolonizing Healing Through Indigenous Ways of Knowing

2021· book-chapter· en· W4200155281 on OpenAlexaff
Miranda Field

Bibliographic record

VenuePalgrave studies in education and the environment · 2021
Typebook-chapter
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsIndigenousHarmEnvironmental ethicsColonialismPsychologyPsychotherapistAestheticsSociologyPolitical scienceSocial psychologyEcologyArtLaw

Abstract

fetched live from OpenAlex

Abstract The field of psychology is embarking on a process to interrupt the historical, colonial cycle of harm and beginning to work with and alongside Indigenous communities to understand the healing journey. From an Indigenous lens, healing incorporates more than the physical recovery; physical, emotional, mental, and spiritual healing exists through learning, which occurs along the healing journey. This healing journey has no definite beginning or end, and as we begin to move away from pathologizing healing to a strength-based healing process, the focus shifts to relationships—relationships with self, community, more-than-human, and the land. This chapter proposes that to decolonize Western healing processes, as a field, we must acknowledge the coexistence of learning during the healing journey. Building healing capacity through learning elucidates the understanding of the past, the needs of the present, and lays foundations for the future to work towards restoring integrity and prompting balanced care.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: none
Teacher disagreement score0.592
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.161
GPT teacher head0.415
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations16
Published2021
Admission routes1
Has abstractyes

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