Capture of the noise from a 120 m long roll-on/roll-off cargo ship
Bibliographic record
Abstract
This soundtrack captures the noise from a 120 m long roll-on/roll-off cargo ship built in 2000 (Nohlan Ava), deemed representative of the shipping traffic in the St-Pierre-et-Miquelon harbour (France), recorded using an Aural-M2 (Multi-Electronique Inc., Rimouski, QC, Canada) underwater acoustic recorder (sampling frequency of 32 kHz, 16 bits resolution) equipped with a HTI-96-MIN hydrophone (High Tech Inc., Long Beach, MS, USA) with a sensitivity of −165 dB re V/μPa and set with a gain of 22 dB. The sound sequence was processed with Audacity® software to create an 80 min soundtrack composed of the sound of the cargo ship arrival (11 min), a 39 min break (simulating handling in harbour), its departure (8.5 min), and a new break of 21.5 min. This soundtrack was repeated in loop throughout the experiments.
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.
How this classification was reachedexpand
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.089 | 0.040 |
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; both teacher heads agree on what is shown here.
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".