Bibliographic record
Abstract
Daylight spilled through the open folds of Alexander’s tent, casting a warm glow on the finely woven rugs that softened the ground beneath their boots. The air was thick with the scent of figs and sun-warmed leather, mingling with the faint aroma of oil from the gilded armour resting on a polished wooden stand near the back. Embroidered tapestries hung along the walls, bearing the symbols of Macedon and Persia—the sun and the lion intertwined—a visual declaration of Alexander’s expanding empire. A bronze basin glimmered in the corner, reflecting the light, while untouched goblets sat abandoned among a scattering of scrolls and maps on the low table. Hephaestion stood dutifully at Alexander’s right, as he often did, hands clasped behind his back. His eyes rested on the king, who leaned forward over the table, a finger tracing the eastern edge of the map with a wistful precision. There was a fire in Alexander’s gaze—a gleam Hephaestion knew well. It was the spark that could rally armies or raze cities, a force that inspired both awe and fear.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".