Statystyka usług w pracach Grupy Voorburg
Bibliographic record
Abstract
From 19 to 23 September 2011 there was held in Newport XXVI Voorburg Group meeting on the service sector statistics. The group was founded at the initiative of Statistics Canada in 1986, in response to the demands of the UN as an informal forum for the support in the development of service sector statistics. Polish CSO participates in this group since 2006. Experience and knowledge gained in the group helped in clarifying the vision for the development of services sector statistics in Poland. The solutions used in other countries in this area allowed us to look differently than before on the tasks of the Office. Active participation in discussions and presentation of Polish experience in the group forum allowed for better preparation of sector studies, and also to seek new opportunities for their development. An important element of international cooperation in this regard will be the organisation of the next group meeting in 2012 in Warsaw.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".