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Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the �쁁oramae Hospital�� case and �쁓everance Hospital�� case, most hospitals in South Korea have set up Hospital Ethics Committees(HECs). However, they haven�셳 worked well because of the absence of legislation and SOPs and a manpower shortage. Based on reviews of cases of SOPs of HECs in other countries such as the USA, Canada, and the UK, this paper will give the basic principles and contents of SOPs for HECs with a foundation of due process and independency.\n First, HECs must guarantee the best interests of the patients. Second, SOPs must ensure the flexibility to operate HECs according to their situations. Third, HECs must build up the ethical competences through the utilization of case consultation, policy development, and ethics education. Forth, HECs must have the professionalism to get the trust and reasoning power regarding their decisions. Fifth, HECs must be comprised of manpower that has various expertise and experiences. Sixth, HECs must operate through consistent procedures to get the due process. Seventh, HECs must try to ensure the principle of publicity and the participation of the patients to ensure transparency. Eighth, the chief of the institution has the responsibility for HECs to operate independently so that the members of HECs are able to act independently. Ninth, HECs have to maintain and improve the competences through continuous quality assessment. Tenth, all the documents of HECs have to be organized and conserved to ensure operating transparency and confidentiality. Eleventh, we propose the standard templates to promote operating effectiveness
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it