The orthodontic workforce in Ireland: a report by the Orthodontic Society of Ireland.
Bibliographic record
Abstract
There are currently 110 specialist orthodontists in the Republic of Ireland. The response rate to this survey was 95 (85%); one-third of the orthodontic workforce are women; there are 49 (45%) orthodontists employed in the hospital service (including consultants) and 60 (55%) working in private practice; half (50%) of the orthodontists in hospital settings are female; only nine (18%) of those in private practice are female; two-thirds (66%) of the orthodontists in Ireland are under the age of 45; a little over one-quarter (28%) are under the age of 35; of those in the 25-35 age bracket, almost 80% are employed in the HSE. With increasing age, more orthodontists work in private practice; adult patients comprise 28% of the reported caseload in private practice compared to 12% in hospital settings; non-extraction patients account for 37% of the caseload in hospital settings compared with 57% in private practice; and almost one-quarter (24%) of those in hospital practice stated that they intended to change their working practice in the future.
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 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".