Bibliographic record
Abstract
AbstractThe endless golden desert, to Saint-Exupery, is more than a background of his physical experience but a door to a mental world where the dimension of time is eliminated and where the sharp comparisons are highlighted: narrowness and broadness, poverty and wealth, tranquility and noisiness, etc. Under the disguise of the bare surface are buried treasures and springs in the deep desert. It is a metaphor inspiring people to have an in-depth understanding of their own inner mind where real hopes and fortune can be found. Key words: Desert; Human ResumeChez Antoine de Saint-Exupery, L’immensite des sables d’or ne se limite pas au decor de ses experiences reelles, elle ressemble a une porte ouverte qui revele au pilote un monde spiritualise. Il est intemporel en revetant les contrastes remarquables: clos et etendu; sterile et riche; silencieux et anime; sous l’ecorce denue se cachent les tresors et la fontaine. Le desert plein de sens allegoriques debouche sur une prise de conscience, de la vraie richesse, de l’espoir et de l’homme lui-meme. Mot cle: desert; Saint-Exupery; homme
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".