Bibliographic record
Abstract
In Chapter 11 we discussed that the central stars of PN originate from the electrondegenerate carbon-oxygen core of AGB stars. After the thin H envelope has been depleted by nuclear burning and mass loss, CSPN will change from deriving their energies from the CNO process to gravitational contraction. This is accompanied by a drop in luminosity by at least an order of magnitude. He burning is unimportant (except during a thermal pulse) and also dies away eventually. The star now enters the “cooling track” with a gradual decline in both luminosity and temperature. These blue and faint stars are referred to as white dwarfs (WDs). WDs were discovered as faint stars that are unusually dense that perturb the orbits of their normal companions through gravitational interaction. Most of the early WD discoveries are nearby single stars, which are found in surveys of stars with large proper motions (Luyten, 1979). More recent discoveries have resulted from surveys of faint blue stars, such as the quasar survey of Palomar-Green (Green et al ., 1986). The PG survey has led to the discovery of hot, H-deficient stars known as PG 1159 stars (see Section 7.3). These are the hottest WDs and therefore can be considered as possible transition objects between the PN and WD stages. For very low-mass stars, it is possible that mass loss or binary mass transfer on the RGB removes sufficient mass from the envelope to stop nuclear evolution before the He flash.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".