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Record W6991094407

An exploration of the lived experiences of non-Aboriginal foster parents in providing care for children from remote First Nations communities

2014· dissertation· en· W6991094407 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFoster careCulturally appropriatePerceptionQualitative researchLived experienceFoster parentsOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

There is research to support the existence of an over representation of Aboriginal children in the care of child and family services agencies in Manitoba. This issue presents many challenges in providing culturally appropriate foster care in order to promote the well-being and self-identity of Aboriginal children in care. The majority of these children are placed in non-Aboriginal foster homes. This study explored the experiences of non-Aboriginal foster parents in order to better understand their experiences and the services and supports necessary in providing culturally appropriate care to children from remote First Nations communities. A qualitative research design based on a phenomenological approach was utilized. Significant themes that emerged through the study were the foster parents’ motivations to foster and the challenges they face. Other significant themes are their perceptions of the services and supports available to them, and future resources that would assist them to provide care to children from remote First Nations communities. The results of the study indicate that the non-Aboriginal foster parents were culturally receptive and willing to provide culturally sensitive care to children from remote First Nations communities. The study results suggest that there needs to be further research exploring the motivations, roles, and responsibilities of foster care providers. By gaining a better understanding of their motivations, perceived roles and responsibilities, foster care agencies may be better informed when designing recruitment, retention strategies, and training for foster care providers in cross cultural foster 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 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)0.005
metaresearch head score (Gemma)0.005
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 score0.959
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.007
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.287
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 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
Published2014
Admission routes2
Has abstractyes

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