Rayed Arcs and the ‘Rory Bory Aylis’: Primary World Aurorae and Tolkien’s 'Father Christmas Letters'
Bibliographic record
Abstract
Previous research has demonstrated that Tolkien was well-versed and well-practiced in the use of etiological myths in his world-building activities. But we should remember that Middle-earth was not his sole Secondary World; in fact, one of the most interesting can be found at Tolkien’s version of the North Pole, in his Father Christmas Letters. As might be expected of Tolkien the impressive collection of astronomy in the letters is largely scientifically accurate, especially concerning the aurora borealis, the northern lights. This paper explores the instances of auroral references (in text and illustration) in the Father Christmas Letters and connects them to real-world etiological myths and folklore as well as actual auroral displays visible in England, demonstrating how closely Tolkien’s depictions follow scientific reality despite their whimsical nature.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".