Bibliographic record
Abstract
A s we are presented with the unique challenges and situations of healthcare, the intrepid innovators of new solutions do us an invaluable service.Those who engage us in dialogue, addressing the complexities of these issues, form the framework of our understanding of these problems.The solutions to modern and unfamiliar problems are rooted in discussion and the development of ideas is key to their eventual implementation.This issue of the Meducator highlights several of such innovative dialogues.Quarantining is a protocol that has been around for many years, yet privacy laws and personal rights has forced the issue into unexpected directions.Alexandra Perri guides us through some of the core problems, and how we might approach quarantine given these new circumstances.Issues of privacy and ethical responsibility concern Mike Herman's article also, as he explores some of the legal issues involved when an individual fails to disclose their HIV-positive status to sexual partners.A solution to the increasing burden of patients on hospital resources is explored by Sarah Mullen, who explains the concept of telemedicine and demonstrates how it is being applied in Ontario to relieve that burden.On an individual level, Jennifer Gao, Christine Ibrahim, Jennifer Lee, Christina Martorelli, and Penny Yin describe the devastating disease of Hutchinson-Gilford Progeria Syndrome, how it can adversely influence an individual's life, and what breakthrough research is being done to help those affected.Jonathan Liu and Noemie Dell focus narrower, showing how oncolytic viruses display promising advances in cancer therapy.Together, these articles represent a broad range of dialogues taking place to help explain the very difficult challenges in healthcare today.While these articles are the mainstay of the magazine, our website, www.meducator.org,contains regularly updated content.Every week new advances in medical research and health ethics are highlighted in MedBulletins, packaged into concise, digestible lengths.These MedBulletins are a great way to keep on top of interesting medical news as well as inform yourself of ethical debates.For an even quicker read, check out our MedWire section, where two-sentence summaries give a taste of the very latest in health news.Both sets of articles are available to browse on our website, and can also be subscribed to via RSS.We are proud of our website content, and hope that you will enjoy the continual updates.
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 0.014 |
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; both teacher heads agree on what is shown here.
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".