Bibliographic record
Abstract
In bioethics literature, the primary justification for the requirement of informed consent has been the protection of autonomous choices. To allow patients to be autonomous decision-makers, physicians are supposed to disclose and share information related to all treatment, procedures and risks. Advocates of the autonomy-based informed consent model argue that in informed consent cases, the disclosure of information should be according to the reasonable person standard or reasonable patient standard, rather than the average competent physician standard. In the Indian medicolegal context, the concept of consent has evolved through the discussion of informed consent and by referring to the concepts of informed consent in other countries, such as the USA, the UK and Canada. In cases of medical negligence in India, the concept of "real or valid consent" has been adopted from British case law rather than the "informed consent" of the USA. This paper examines the doctrinal rules of the concept of real or valid consent through an analysis of Samira Kohli's case - a landmark court case and a major precedent case in India that referred to "real or valid consent". In analysing this case, the paper will examine the judiciary's decision on the nature of and standard for the disclosure of information. Thus, the paper will reflect on the underlying ethical and legal principles of the doctrine of real or valid consent in the Indian context. This paper uses a hermeneutic approach to the landmark case to provide a qualitative interpretation of the Indian medical judiciary's concept of consent and the autonomy of the patient.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".