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Record W4327712510 · doi:10.1089/jchc.21.09.0101

“These Issues Aren't Separate”: The Relationship Among Being Indigenous, Motherhood, and the Criminal Justice System

2023· article· en· W4327712510 on OpenAlexafffundabout
Sharon Tan, Angela Mashford‐Pringle, Tenzin Butsang, Bryanna Scott, Gabriel B. Tjong, Jerry Flores, Flora I. Matheson, Karen Lawford

Bibliographic record

VenueJournal of Correctional Health Care · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsQueen's UniversitySt. Michael's HospitalLakehead UniversityPublic Health OntarioUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsIndigenousCriminal justiceCriminologyEconomic JusticeIntersectionalitySociologyMedicineGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

In using an approach encompassing intersectionality and interconnectedness, we highlight how the experiences of Indigenous mothers and mother figures in contact with the law are a result of various historical and contemporary events. We highlight a need for a wholistic approach to eliminate the overrepresentation of Indigenous Peoples, including parents, in the criminal justice system. There is a lack of research and discussion on Indigenous women and their experience with the justice system and by using an Indigenous lens, we can explore the establishment of culturally safe resources and care wherein gender inclusivity is prioritized. Our team of researchers and advocates intends for this article to contribute and spark dialogue on Indigenous Peoples, particularly mothers and mother figures and their interactions with the justice system. Although this article mainly focuses on federal programs and policies in Canada, insights on the barriers to care can be applied into policy and practice across multiple settler states.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.370
Teacher spread0.338 · 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.

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

Citations2
Published2023
Admission routes3
Has abstractyes

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