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
We sought to determine whether an objective test of musical ability could be successfully administered online. A sample of 754 participants was tested with an online version of the Musical Ear Test (MET), which had Melody and Rhythm subtests. Both subtests had 52 trials, each of which required participants to determine whether standard and comparison auditory sequences were identical. The testing session also included the Goldsmiths Musical Sophistication Index (Gold-MSI), a test of general cognitive ability, and self-report questionnaires that measured basic demographics (age, education, gender), mind-wandering, and personality. Approximately 20% of the participants were excluded for incomplete responding or failing to finish the testing session. For the final sample ( N = 608), findings were similar to those from in-person testing in many respects: (1) the internal reliability of the MET was maintained, (2) construct validity was confirmed by strong associations with Gold-MSI scores, (3) correlations with other measures (e.g., openness to experience, cognitive ability, mind-wandering) were as predicted, (4) mean levels of performance were similar for individuals with no music training, and (5) musical sophistication was a better predictor of performance on the Melody than on the Rhythm subtest. In sum, online administration of the MET proved to be a reliable and valid way to measure musical ability.
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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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