Bibliographic record
Abstract
She Is Elisabeth Mehl Greene (bio) "She Is" celebrates the heroic spirit of women in early Islam, observing the challenges within their stories as well as in the traditional representation of those narratives. These women of the Islamic tradition display courage, perseverance, and resilience, deserving honor that is often denied them. soft focus cat of nine quilted cushion sewn with loopholes a lost necklace, caravan, trust live wire blossoming blue firetalent scout and strong coffee sand storm against antique ceramics falcon's eye for perfect accountingsea voyage solo tall sail inkless lion committed to memory jeweled orchid full of flour unpinned swirl, unseated singular taleswindswept tent revealed in sun ransomed rose, wings and myth falling moon of buttered dates firm carpet roller for onebarred name blessing of oud between the mules and garments deal refuser, unwilling to move [End Page 178] Elisabeth Mehl Greene Elisabeth Mehl Greene is a writer and composer working in the Washington, DC, area. She is a visiting researcher at the Prince Alwaleed bin Talal Center for Muslim-Christian Understanding at Georgetown University. Greene received her doctorate from the University of Maryland. Her first book, Lady Midrash: Poems Reclaiming the Voices of Biblical Women (2016), retells the stories of women from the Hebrew Bible and New Testament from their own perspectives. emg99@georgetown.edu Copyright © 2017 Canadian Comparative Literature Association
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.486 | 0.268 |
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".