Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Eurovision Song Contest is not only the largest song contest worldwide but also probably the world’s largest election for a non-political office. In this article, we are interested in the voting behaviour of Eurovision viewers. Do they vote sincerely, strategically according to rational choice assumptions (i.e. for the song they believe will be the likely winner) or for another song? Using data from a large-scale survey carried out in Europe, we find interesting voting patterns with regard to these questions. Roughly one-fourth of the survey participants would vote for either their preferred song or for the song they think will win. However, the percentage of strategic voters is lower (11%). In contrast, many individuals (i.e. 36% of participants) would vote for another song, one that is neither their preferred song, the likely winner, nor a rational choice. The reasoning behind these remaining votes may include neighbourhood voting, ethnic voting, and voting for one’s favourite European country.
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.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it