Bibliographic record
Abstract
Here are a few that have stood the test of time. Some are useful beyond plastic surgery. John R Taylor Do what you know first Meaning: When faced with a complex situation, a surgical jigsaw puzzle to piece together, find something that seems to fit and fix that. Then find the next part and so on. This is useful in complex facial laceration repairs and whenever a task seems so big you do not know where to start. Other applications: Do something, make a start. Do not do today what you can honourably put off until tomorrow Meaning: Do not rush at doing surgery. Do not get too busy. Save time to use for when you really need the time for urgent things. Watch and wait. Some things get better on their own. Other applications: Predict what might happen naturally. When you see an abscess you are already one day late in draining it Meaning: Take action immediately when there is no doubt. Other meanings: Learn when to take immediate action. Learn when to cash in your chips. Take advice, but the final decision is always yours. Do not operate on a patient who is getting better Meaning: Remember the natural history of the disease and operate on the down slope to gain the up slope. Other meaning: The patient and family should be convinced surgery is necessary. No person’s opinion is better than his facts Meaning: Know the difference; most people do not. Other meaning: A fact requires proof. Debate the proof. I would rather have a patient mad at me before surgery than after surgery Meaning: Say no right away if you do not think you can help. The patient deserves the bottom line as you know it. Other meaning: If the patient cannot handle hearing about the risks before surgery, he or she cannot handle a real complication after surgery. In general, do not do favours Meaning: It is not your fault someone wants to bump the line. Adding an extra patient when you do not have time will seldom result in gratitude but will certainly delay everyone else that day. Be kind and tolerant to older people Meaning: That’s you in a few years. Do not be shocked. These are not necessarily the golden years! Repeat what you say slowly. Other meaning: Only if you live long enough. The more obvious the problem the easier it is to improve Meaning: Do not operate when the problem is not immediately apparent. Other meaning: Learn how to say no. Saying, “I do not have the skill to achieve what you want” is a good way. Always say it as soon as you know. Your first impression is usually right. Spoken like a true empirical doctor Meaning: Avoid repeated mantras. Keep revising.
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 | 0.001 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".