Transcriptome analysis of programmed cell death associated with allorecognition in chestnut blight fungus Cryphonectria parasitica
Bibliographic record
Abstract
The "dialectics" of this situation is that the evolutionary narratives certainly are oversimplified "myths" that have the unfortunate (and, in modern studies, unintended) teleological flavor (as in "selected for" or, worse, "selected for the purpose of"), yet the language of these narratives seems best suited to describing evolution and formulating falsifiable hypotheses that propel further research. At present, we hardly can give up these stories [] precisely because they are necessary means for the advancement of research, even though they tend to leave a scientist [] with feelings of uneasiness and dissatisfaction. It seems important not to forget that evolutionary narratives effectively are semantic devices that are constructed to structure and simplify our thinking about evolution and to facilitate the generation of hypotheses. These narratives should be prudently distrusted and by no account should be construed as "accurate representations of reality" (whatever that might mean []).
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".