Bibliographic record
Abstract
The Arecibo Radio Telescope has been equipped with a seven feed horn array operating at 1400 MHz – the Arecibo L-band Feed Array (ALFA). This new feed system, combined with a 300 MHz digital spectrometer back end, enables the large collecting area of the Arecibo reflector to be utilized for sensitive, wide-area imaging. A consortium of over 40 researchers from around the world is working together to use this system to carry out a spectro-polarimetric imaging survey of the entire sky visible to the Arecibo Telescope; the Galactic ALFA Continuum Transit Survey (GALFACTS). GALFACTS covers 13,000 square degrees of sky, creating over this area full-Stokes image cubes at angular resolution of 3.5' with several thousand spectral channels covering 1225 to 1525 MHz, and band-averaged sensitivity of 90 microJy. The complete survey will require about 2000 hours of observing time. Observations began in l2009 and are now 80% complete. The data will provide a rich new database for exploration of the magnetic field of the Galaxy, the properties of the magneto-ionic medium and the polarization properties of over 10 5 extragalactic radio sources.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".