Bibliographic record
Abstract
Recordings were made at the beginning and end of workdays of teachers who experience vocal fatigue (n = 22) and those who do not experience fatigue (n = 17). Those who experienced fatigue were recorded on days in which they did and did not fatigue. Both groups evaluated their vocal characteristics, each time they made a recording. Subsequently, a listener panel evaluated the same characteristics from the recordings. Both groups estimated the amount and characteristics of their talking time, completed a psychological evaluation and provided medical histories. The authors interpret the data obtained as indicating that the vocal characteristics of teachers who fatigue and those who do not fatigue are similar on days the former group does not fatigue and that the two groups are similar in the amount and loudness of their talking time, at work and at home. However, teachers who fatigue tend to spend more time in activities that appear to be vocally demanding and are more likely to perceive situations as being anxiety producing. Teachers who fatigue tend to be in good health, but have had more hearing problems and allergies than their colleagues and more of their family members have had voice problems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".