A Note from the Editor- in- Chief: Severe Shortage of Surgeons (Preface)
Bibliographic record
Abstract
For a relatively long period of time, Jordan has enjoyed a plethora of highly skilled and highly qualified surgeons and medical specialists in various disciplines. This was a combination of investment in training by the royal medical services, the newly established medical schools and the individuals who drive to excel in the areas they enjoy most. In addition, there were plenty of opportunities for the training of good doctors in Western Europe, especially in UK, USA, Canada and Australia. The individual surgeon (or physician) would master the state of the art in his field and would transfer and apply this in Jordan. After the major crash of the Jordanian economy in the late eighties, all public institutions were short of funds and they had to cut off their budgets of sponsoring training abroad. The sudden loss of 50% of the value of the Jordanian Dinar, made it very difficult for a person to support himself abroad while being trained in clinical postgraduate medicine. As a consequence, fewer doctors went for training abroad; with the exception of some local graduates who found new opportunities in USA, mostly in non-surgery areas. Unfortunately, most of these graduates have settled for good in USA.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.008 |
| Insufficient payload (model declined to judge) | 0.022 | 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".