Cyberspace and Libel: A Dangerous Balance for Physicians
Bibliographic record
Abstract
Freedom of speech and expression is one of the core tenets of modern societies. It was deemed to be so fundamentally essential to early American life that it was inscribed as the First Amendment of the United States Constitution. Over the past century, the rise of modern life also marked the rise of the digital era and age of social media. Freedom of speech thus transitioned from print to electronic media. Access to such content is almost instantaneous and available to a vast audience. From social media to online rating websites, online defamation may cause irreparable damage to a physician's reputation and practice. It is especially relevant in these times of political turbulence where the battle to separate facts from misinformation has started a debate about the responsibility of social media. The historical context of libel and its applicability in the age of increasing online presence is important for physicians since they are also bound by duty to protect the privacy of their patients. The use of public rating sites and social media will continue to be important for physicians, as online presence and incidents of defamation impact the practice of medicine.
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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 | 0.012 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.035 |
| Scholarly communication | 0.017 | 0.020 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.014 | 0.026 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".