Annular Solar Eclipse 2023: recordings of the entire medium-wave AM broadcast band from near Medicine Hat, AB, Canada, Part 1
Bibliographic record
Abstract
recorded by Nigel Pimblett, VE6TNF Grid square of location recorded: DN49rx Maximum obscuration of the sun was 59% at 1629UT on 14 October 2023. These data files are recordings of the entire medium wave broadcast band (535-1705kHz) made during the annular solar eclipse of 14 October 2024 from 1516 to 1752UT from near Medicine Hat, AB, Canada. They are part of a set of such recordings made from 14 October, 1358UT to 1800UT. Data Quality: Good; crisp sounding demodulation is possible using SDR Console. Data files are .wav format, but the archived files are .zip, with about ten .wav files packaged together in each .zip file, using the prefix " VE6TNF-wideband_120_2120kHz_”. As the total files recorded during the solar eclipse exceeded the Zenodo 50GB limit, the remainder of the dataset is found in Annular Solar Eclipse 2023: recordings of the entire medium-wave AM broadcast band from near Medicine Hat, AB, Canada, Part 2”. The recordings not included here or in Part 2 are available by contacting HamSCI at am-eclipse@hamsci.org if you require this data. Antenna: Wellbrook Phased Array. East-west loops are 20m perimeter deltas, 40m separation with the bottom wire about 30 cm above ground. Amplifiers are Wellbrook ALA100M. Receiver: RX888, with center frequency 4500kHz, recording 8000kHz wide passband, using SDR Console. Raw data was a single RF64 WAV file. That file was re-sampled using SDR Console to deliver multiple WAV files of 2000kHz passband with a center frequency of 1120kHz, so that they could both be stored in Zenodo and processed more easily. The original file can be obtained by contacting HamSCI at am-eclipse@hamsci.org . Although the RX888 was not frequency locked, the receiver had been powered up for a good 24 hours prior to the recording. Computer time had been set manually.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.057 | 0.035 |
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".