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Record W4361217756 · doi:10.1080/10530789.2023.2193374

Experiences of service providers delivering care for street involved and homeless pregnant and early parenting women

2023· article· en· W4361217756 on OpenAlexafffund
Solina Richter, Kimberly Jarvis, Vera Caine

Bibliographic record

VenueJournal of Social Distress and the Homeless · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsService providerService delivery frameworkNursingFocus groupQualitative researchIntervention (counseling)Social workService (business)Government (linguistics)PopulationMedicinePublic relationsBusinessSociologyEnvironmental healthEconomic growthPolitical scienceMarketing

Abstract

fetched live from OpenAlex

Service delivery and care of street-involved pregnant women is recognized as a complex issue, and as such comorbidities, addictions, and risky behaviors can result in significantly higher risks of contracting HIV. We inquired into the experiences of service providers who work in community-based supportive intervention programs for vulnerable street-involved, pregnant, and early parenting women in precarious housing situations who are living with HIV or are at risk of contracting HIV, across the continuum of care. We used a qualitative descriptive design and interviewed 22 service providers from local government and non-governmental community agencies about their experiences delivering services to this population. Four key themes emerged from the data: focus on outcomes and success, understanding tensions in service delivery, challenges in accessing appropriate services and resources, and attention to moving forward. We highlight the complex tensions experienced by service providers in a health and social care system that centers on measurable and quantifiable outcomes while overlooking larger issues that shape equitable care. Our study highlights the need for alternative approaches to service delivery that are focused on the lives of women.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.020
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.033
GPT teacher head0.343
Teacher spread0.309 · 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.

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 routes2
Has abstractyes

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