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Record W7001984459

Legal Interventions and Access to Maternal Health Services by Women with Disabilities (WWD) in Bangladesh: Lessons from Canada

2021· dissertation· en· W7001984459 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionHyporeflexiaTSG101Gestational periodHyperlactatemiaArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

This thesis investigates how and why women with disabilities are facing various kinds of barriers and challenges while accessing maternal health services. It tries to focus on the barriers in the built environment and attitudinal barriers that hinder the way of getting maternal health services by women with disabilities which they are entitled to. A literature review discusses the major barriers which women with disabilities encounter across different jurisdictions along with Bangladesh. The literature review on the accessibility of Bangladesh and real-life stories confirms the existence of some common barriers women with disabilities face while accessing maternal health services. Further, provisions of the international disability convention, the UN Convention on the Rights of Persons with Disabilities, were discussed to establish the state obligation of Bangladesh to ensure the health care rights of women with disabilities. Moreover, the importance of the compliance of the human-rights approach in a national legal framework was discussed. In addition, legal lacunas of Bangladeshi laws were examined and possible legal interventions are discussed. Concerning that, Canadian accessibility provisions were taken into consideration for discussion. To conclude, recommendations are provided including necessary legal reforms of existing laws, incorporating new concepts and provisions to ensure accessibility of maternal health service in Bangladesh.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.317
Teacher spread0.290 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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