transition countries of south-eastern Europe: the example of Albania
Bibliographic record
Abstract
health associations operating inAlbania, was established inMarch 2004with the support of the European Public Health Association (EUPHA) and the Open Society Institute (OSI). Ever since its establishment the AFPH has been an open arena wherein opinions and options for rational health policies comprising all relevant issues of the New Public Health are discussed, formulated, and documented near the Albanian Ministry of Health. Notwithstanding the laudable mission of the AFPH, there is an emerging need to establish a regional Public Health Forum in south-east Europe as a basic prerequisite for sustainable development of public health in these countries. Most conveniently, this regional umbrella organization should have a sup-porting Secretariat based in one of the south-east European countries. Nevertheless, there is a clear call for international funding with participation of different agencies and bodies (OSI, EUPHA, Canadian International Development Agency, and the Stability Pact). A regional association in the south-east Europe would enable the organization of annual conferences in the most renowned institutions in the region. Also, a regional collaboration among public health associations would be a suitable start for the development of research in south-east Europe. Furthermore, the existence of a regional public health association would make feasible the establishment of a scientific public health journal for
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".