Bibliographic record
Abstract
When David Hume could not experience the impression of a necessary connection in the constant conjunction of two events, he reasoned that the necessity inherent in such a relation was the result of a feeling or desire; a determination of the mind to connect one event to another.Immanuel Kant, on the other hand, argued that the idea of cause was an innate structure of thought that provided the objective validity to a causal relationship.I argue that Kant's combination of sensible intuition and the faculty of thought provides a more comprehensive and objective explanation of how we understand the necessary connection between a cause and its effect.iii Acknowledgement There are two special people in my life for whom I owe a deep debt of gratitude for making this thesis possible.The first is my wife, Sheryll, whose encouragement and patience throughout this long process was steadfast.Besides being my life partner, she deigned to scrutinize my grammar, in an attempt to make my abstruse prose more accessible.The second person I wish to thank is my Supervisor, Dr. Melissa Frankel, whose patience, guidance, mentoring, and deep knowledge pushed me to produce a paper that is considerably better than if I was left to my own devices.I would like to especially thank Dr. Andrew Brook who introduced me to the curse of an obsessive desire to try to understand Kant.I have benefitted immensely from his wisdom and counsel.I must also thank my mentor, Dr. David Matheson
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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.038 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.015 | 0.030 |
| Insufficient payload (model declined to judge) | 0.004 | 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".