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Record W6959937834 · doi:10.11575/prism/4936

Stories of hope: conversations with aboriginal women who have experienced incarceration

2012· other· en· W6959937834 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2012
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvances in Cucurbitaceae Research
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)Women's LivesLived experienceQualitative researchFeminismWomen of color

Abstract

fetched live from OpenAlex

The purpose of this research study was to explore the meaning of hope for Aboriginal women who have experienced incarceration and to offer an opportunity for their voices to emerge. Conversations with six Aboriginal women provided descriptions of how hope influenced their lives before, during, and after incarceration. van Manen's (1990) phenomenological research design guided this study together with a feminist perspective. The colonization and assimilation of First Nations people by Canada's early settlers changed the fabric of their lives and created an inherent burden that is distressingly evident to this day. Aboriginal women, once respected and valued, struggle daily to meet the demands of a society that has oppressed them for decades. Yet, somehow, these brave women have found the strength, resilience, and survival skills to meet another day. This thesis presents their stories and discusses the underlying themes as well as the implications for nursing and future research.

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)0.006
metaresearch head score (Gemma)0.011
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: Other · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0230.013
Scholarly communication0.0050.004
Open science0.0020.009
Research integrity0.0030.006
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 head0.009
GPT teacher head0.265
Teacher spread0.256 · 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
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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