Bibliographic record
Abstract
Le capitaine W., The Little White Bird, qui rappelle étrangement Barrie, se fait finalement écrivain en rédigeant le récit qu'avait eu l'intention d'écrire la mère de David, laquelle vient de donner naissance à un deuxième enfant.L'ouvrage terminé, il le dédie à celle à laquelle il s'est substitué, dont il a repris le rôle : Madam (I wrote wittily), I have no desire to exult over you,yet I should show a lamentable obtuseness to the irony of thingswere I not to dedicate this little work to you.For itsinception was yours, and in your more ambitious days you thoughtto write the tale of the little white bird yourself.Why you soearly deserted the nest is not for me to inquire.It now appearsthat you were otherwise occupied.In fine, madam, you chose thelower road, and contented yourself with obtaining the Bird.MayI point out, by presenting you with this dedication, that in the meantime I am become the parent of the Book?To you the shadow,to me the substance 3 . De Black Lake Island à Neverland
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 | 0.000 | 0.001 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 0.004 |
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".