Bibliographic record
Abstract
Statistics Norway's Omnibus Surveys are composed of questions about various themes on behalf of several employers. The surveys consist of a fixed set of background variables, as well as the questions that employers pay for. The questions that are determined by employers can almost be considered as fixed as well, since they are used each quarter. These questions concern smoking (on behalf of the Ministry of Health Care Services) and travel over the last three months (on behalf of the Section for Transport, Tourism and ICT at SSB). Other themes that were asked about in this quarter were: 1. Smokinghabits Norwegian Directorate of Health 2. Traveling over the last 3 months Statistics Norway 3. Live-in statistics Statistics Norway 4. Expenditure in relation to traveling Ministry of Trade and Industry 5. Attitudes toward immigration/immigrants Ministry of Local Government and Regional Development The Omnibus Survey in August/September (Omnibus nr. 3) 2002 was the third of four Omnibus Surveys in 2002.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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; both teacher heads agree on what is shown here.
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".