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Record W4390264980 · doi:10.1371/journal.pone.0294961

A qualitative case study of pregnancy and early parenting in Canada’s federal prisons for women

2023· article· en· W4390264980 on OpenAlexafffundabout
Martha Paynter, Ruth Martin‐Misener, Adelina Iftene, Gail Tomblin-Murphy

Bibliographic record

VenuePLoS ONE · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsNova Scotia Health AuthorityDalhousie UniversityUniversity of New Brunswick
FundersCanadian Institutes of Health ResearchResearch Nova ScotiaKillam TrustsDalhousie UniversityPierre Elliott Trudeau FoundationIWK Health CentreCanadian Nurses Foundation
KeywordsQualitative researchMental healthPunishment (psychology)MedicinePregnancyPsychologyPsychiatryDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to understand the experiences of pregnant people and new parents in Canadian federal prisons for women, and to better understand their ability to participate in the institutional Mother Child Program. METHODS: This qualitative case study used semi-structured interviews with people who experienced federal incarceration during pregnancy or the early parenting years. FINDINGS: Major themes in the analysis include: 1) Reasons why- and why not- to participate in the Mother Child Program; 2) Mothering from inside; 3) Health care; and 4) Strategies and survival. KEY CONCLUSIONS: Mothers describe multiple reasons for choosing not to participate or being ineligible for the Mother Child Program; separation as common and traumatic; health services as inadequate; and mental health concerns being met with punishment. Alternatives to incarceration are recommended.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.167
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0350.010
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.140
GPT teacher head0.371
Teacher spread0.231 · 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

Citations3
Published2023
Admission routes3
Has abstractyes

Explore more

Same venuePLoS ONE→Same topicCriminal Justice and Corrections Analysis→French-language works237,207→