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Record W4386699194 · doi:10.36939/ir.202309131339

Miyo pimatisiwin opikinawasowin: Living the good life in child rearing ways

2023· dissertation· en· W4386699194 on OpenAlexaff
Aimee Louis

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsRoyal College of Physicians and Surgeons of CanadaUniversity of WinnipegMount Royal UniversityUniversity of Alberta
FundersNational Institute on Minority Health and Health Disparities
KeywordsIndigenousWelfareTurtle (robot)SociologyGender studiesDevelopmental psychologyGeographyPsychologyPolitical scienceEcologyLawBiology

Abstract

fetched live from OpenAlex

Opikinawasowin is the Cree word for the lifelong process of growing children. Indigenous child rearing practices adopt a holistic approach while being inclusive of the family unit and the community. The tipi is the conceptual framework for this qualitative Indigenous research study. I use the tipi because each pole represents a specific child rearing teaching corresponding to one of four inter-related life stages: child, adolescent, adult and Elder. All teachings related to the tipi help us understand the spiritual aspect of miyo pimatisiwin opikinawasowin. To be eligible for the Tipi Teachings online study, Indigenous participants are over the age of consent and live on Turtle Island. Thesis findings provide a Turtle Island perspective on Indigenous child rearing ways, teachings, philosophies, and practices related to the tipi. Given that Indigenous children are disproportionately overrepresented in the Child Welfare system, this study is imperative for moving forward in times of reconciliation for Indigenous children, families, communities and Nations across Turtle Island. Thus, this research will positively impact families, including my own, and the next seven generations.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.991
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.312
Teacher spread0.290 · 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
Published2023
Admission routes1
Has abstractyes

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