Bibliographic record
Abstract
The Story of Hannah–Summarized from 1Samuel 1: A man named Elkanah, from Ramah, had two wives: Peninnah had children, while Hannah was childless. Elkanah went to the temple at Shiloh every year to worship and offer a sacrifice for his wives and children. Even though Hannah was barren, she was his favorite, but Peninnah taunted her and made her miserable. Hannah would not eat during the sacrifices, which worried her husband. One year, weeping, Hannah prayed silently to God: She asked Him to open her womb, and she vowed that if she were granted a male child, she would dedicate him to the Lord for all the days of his life. Eli the priest saw Hannah's lips moving, but heard no words. Believing she was drunk, he chastised her. Hannah explained her grief and desire and Eli sent her home with the blessing that she receive what she had prayed for. Hannah conceived and bore a son, whom she named Samuel. She brought him to the priest when he was weaned and “lent” him to the service of God for the duration of his life.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".