« ‘Avāmel-e mo'aṯer dar šekl-gīrī-ye anvā‘-e me‘mārī-ye qobūr va šīve-hā-ye tadfīn dar gūrestān-e ‘aṣr-e āhan-e tappe-ye Sarm-Kahak, Qom / Important Characteristics of the Funerary Architecture and Burial Practices of the Iron Graves at Tepe Sarm near Kahak, Qum ». Gozāreš-hā-ye bāstān-šenāsī, 2 / Archaeological Reports, 2. Tehran, Iranian Center for Archaeological Research, 2004, pp. 129-153 (Eng. Summary, p. 11-12).
Bibliographic record
Abstract
A la différence du piémont nord de la chaîne de l’Elburz, le Plateau iranien n’a pas fait l’objet de beaucoup de travaux sur les nécropoles de l’âge du Fer. La situation a changé depuis quelques années, concernant aussi les habitats. L’A. présente ici 80 tombes de l’âge du Fer II et III. Si elles sont toutes à la base des inhumations dans des fosses, elles présentent une réelle diversité dans les aménagements par l’addition de deux ou quatre murets intérieurs en briques, parfois par une couv...
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".