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
A key variable for predicting speech privacy in open offices is the level of speech used. Since the environment influences vocal effort, speech levels needed to be measured in typical open office situations to more accurately calculate speech privacy in such offices. This paper describes measurements of voice levels used in face-to-face conversation in nine open offices in the Ottawa/Hull Area. Speech from 118 subjects was recorded and analyzed. Average voice levels in each office ranged from 48 to 55 dBA. The overall mean was 51 dBA with a standard deviation of 3.4 dBA. Levels from the current study were significantly lower than those in ASTM standard E1130, but the overall average and spectrum agree well with Pearsons’ results for casual conversation (K. S. Pearsons, R. L. Bennett, and S. Fidel, ‘‘Speech levels in various noise environments,’’ EPA-6001-77-025, U. S. Environmental Protection Agency, May 1977). The paper describes the procedures and the results obtained. This work was done as part of a project for Public Works and Government Services Canada.
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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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