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Record W4412738286 · doi:10.7202/1118905ar

Medical Necessity as an Ethical Imperative for Equitable Access to Abortion Services in Canada

2025· article· en· W4412738286 on OpenAlexaffvenueabout
Roma Dhamanaskar, Kayla A. Benjamin, Kyra Keer, Nipa Chauhan

Bibliographic record

VenueCanadian Journal of Bioethics · 2025
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsPublic Health OntarioWestern UniversityInstitute for Work & HealthHamilton Health SciencesUniversity of TorontoMcMaster University
Fundersnot available
KeywordsAbortionMedical abortionBusinessInternet privacyComputer sciencePregnancy

Abstract

fetched live from OpenAlex

The Canadian healthcare system has a rich history of using public funds for medically necessary hospital and physician services, legislated by the Canada Health Act (CHA). Overlapping with this history is the fight for reproductive rights which culminated in the decriminalization of abortion in 1988. Provincial and territorial governments must ensure that residents have “reasonable access” to health services deemed “medically necessary” as per the CHA principle of accessibility; the federal government holds the authority to withhold funding to sub-national governments if violated. We demonstrate that sufficient policy and legislative evidence exists to support abortion as a medically necessary procedure in Canada. We further argue that, as a medically necessary health service, the inequitable landscape of abortion access across Canada requires vast improvements to fulfil the “accessibility” principle. Systemic and geographical barriers, a lack of culturally informed care, unwilling providers, and anti-choice influences complicate abortion access. Though accessibility has been broadened with the introduction of Mifegymiso — the gold standard for medical abortion — this has not solved the problem of access. In this paper, we argue that classifying a procedure as medically necessary, in this case abortion, requires active and sustained policy action to improve equitable access and remove barriers to care. We justify the special status we give abortion through utilitarian and justice reasons, and due to the unique barriers to care faced by patients seeking abortions.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.416
Teacher spread0.371 · 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 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
Published2025
Admission routes3
Has abstractyes

Explore more

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