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 topic of public goods in agriculture has become a very important and widely discussed subject in recent years. The demand for public goods generated by agriculture results from the expectations of the whole society, and the goods themselves are considered as a part of public health. Accordingly, in this study an attempt was made to determine the importance of animal welfare, as an example of the public goods generated by agriculture, to the Polish citizens and its determinants. Empirical studies were conducted in the second quarter of 2017 on a representative sample of 500 Polish citizens. It was found that people in Poland generally rate animal welfare very highly (average score 88.43 on a scale of 0-100) and that there is a statistical difference in the assessment of the importance of animal welfare on grounds of interest in healthy food, the number of people in the household and sensitivity to the beauty of nature. Additionally, factors determining the importance of animal welfare include: consuming organic food, interest in culture, interest in fashion, sex, age and smoking.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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