Bibliographic record
Abstract
Abstract After spending the first quarter of his life at his teacher’s, a twice-born man should marry a wife and spend the second quarter of his life at home. Except during a time of adversity, a Brahmin ought to sustain himself by following a livelihood that causes little or no harm* to creatures. 3He should gather wealth just sufficient for his subsistence through irreproachable activities that are specific to him, without fatiguing his body. Let him sustain himself by means of “true” and “immortal,” or by means of “mortal” and “fatal,” or even by means of “truth-cum-falsehood”; but under no circumstances by means of the “dog’s life.” Gleaning and picking should be considered the “true”; what is received unasked is the “immortal”; almsfood that is begged is the “mortal”; and agriculture, tradition says, is the “fatal.” 6Trade is the “truth-cum-falsehood,” and he may sustain himself even by that. Service is called the “dog’s life”; therefore, he should avoid it altogether.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.199 | 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; both teacher heads agree on what is shown here.
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".