Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
My interest in ʿAyn al-Quḍāt was first piqued in 2007, when I was a doctoral student at the University of Toronto.Captivated by ʿAyn al-Quḍāt's unique manner of expression, I began to think that his writings would make for an ideal PhD dissertation topic.Given my inexperience and naïveté, my academic advisory committee gently pointed to greener pastures.Their advice could not have been better.After graduating in 2009, it would take me another five years of training to be able to step into ʿAyn al-Quḍāt's world.Thanks to a series of grants and fellowships (see acknowledgments), I was freed from teaching and administrative responsibilities for several academic years.This large block of study time gave me the opportunity to carefully read and take copious notes on all of ʿAyn al-Quḍāt's writings, work out a translation method that would allow his style to faithfully come across in English, and translate and explain the most interesting passages.The result of these labors is the present book, which serves as an introduction to ʿAyn al-Quḍāt's spiritual and intellectual teachings.Having put aside
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it