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Record W7082658003 · doi:10.5281/zenodo.15498712

Effects of the 2024 total solar eclipse upon reception of North American and trans-Atlantic signals in the medium-wave broadcast band, using a Beverage antenna and software defined radio files recorded in Portneuf, QU, Canada.

2025· dataset· en· W7082658003 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typedataset
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsSpurious relationshipEclipseData setSoftwareData centerAntenna (radio)Solar eclipseData file

Abstract

fetched live from OpenAlex

Recorded by: Sylvain Naud. Grid square of location recorded: FN46bq Maximum obscuration of the sun was 98.4% at 1930UT on 8 April 2024. These data files are recordings of the entire medium wave broadcast band (535-1705kHz) made during the total solar eclipse of 8 April 2024 from 1820 to 2043UT from Portneuf, QU, Canada. They are part of a set of such recordings made from 1730 to 2133 UT on 8 April 2024. Data Quality: Only limitations are a number of weak spurious carriers and some short (~15 seconds) data dropouts. Data files are .wav format, but the archived files are .zip, with about five .wav files packaged together in each .zip file, using the prefix “SNaud-wideband_500_1750kHz_ “. The recordings not included here are available by contacting HamSCI at am-eclipse@hamsci.org, if you require this data. Antenna: 400m /1300ft Beverage @ 55 degrees; no termination Receiver: SDRPlay RSP1, with center frequency 1125kHz, recording a 1250kHz wide passband, using SDRUno software. Hardware was not locked to a frequency standard. Recording computer time set by Windows network time.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.238
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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