OF THE REQUIREMENTS FOR THE PHD DEGREE IN RELIGIOUS STUDIES
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
ii Acknowledgements This project would not have been possible without the support and encouragement of many people. I would like to thank my doctoral supervisor, Pierluigi Piovanelli, for his guidance, support, and patience throughout this process. His insight into my research has been absolutely invaluable. I would also like to thank my professors at the University of Ottawa who played an integral role in my doctoral formation. In particular, I would like to thank Theodore de Bruyn for his help at the beginning of my research, as well as Jitse Dijkstra, for his immense contribution to my understanding of Coptic. I would also like to thank Greg Bloomquist of Saint Paul University for allowing me to attend his seminar on Socio-Rhetorical Analysis. I owe a debt of gratitude to all of my friends and colleagues who supported me throughout my studies. In particular, I would like to thank my close friend and colleague Rajiv Bhola for taking the time throughout our studies together to act as a sounding board for ideas. I would also like to acknowledge colleagues and mentors who have passed on in recent years. Carl Kazmierski, who I was fortunate to have as a professor throughout the course of my
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 | 0.000 | 0.000 |
| 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