Healthcare responsibilities and conscientious objection
Bibliographic record
Abstract
The Constitutional Court of Colombia has issued a decision of international significance clarifying legal duties of providers, hospitals, and healthcare systems when conscientious objection is made to conducting lawful abortion. The decision establishes objecting providers' duties to refer patients to non-objecting providers, and that hospitals, clinics, and other institutions have no rights of conscientious objection. Their professional and legal duties are to ensure that patients receive timely services. Hospitals and other administrators cannot object, because they do not participate in the procedures they are obliged to arrange. Objecting providers, and hospitals, must maintain knowledge of non-objecting providers to whom their patients must be referred. Accordingly, medical schools must adequately train, and licensing authorities approve, non-objecting providers. Where they are unavailable, midwives and perhaps nurse practitioners may be trained, equipped, and approved for appropriate service delivery. The Court's decision has widespread implications for how healthcare systems must accommodate conscientious objection and patients' legal rights.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.058 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.015 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".