Bibliographic record
Abstract
In this contribution to an exchange of views about “lyric philosophy,” the author argues that the philosopher-poet Jan Zwicky, beginning as early as her dissertation at the University of Toronto, has championed the nonlogical, including the ineffable, the oracular, and the mystical, and that more recently those concerns have merged in a more focused way in her attention to ecological issues. The impulse to fix philosophy and the environment depends in her work mainly on further linguistic statements and declarations, and on occasional overt rejections of traditional political remedies. Thus, the audience for her campaign against analytic philosophy, for example, does not seem to reach beyond the walls of higher education in North America. Zwicky has aligned herself with an esoteric philosophical tradition (Heraclitus, Plato, Nietzsche, Heidegger) that has sought to achieve its aims covertly — meaning, for one thing, that it becomes difficult to measure the success of those aims, since they are deliberately meant to be unavailable to public scrutiny. Those aims are not dependent on the general populace's involvement or engagement. Indeed, the author concludes, the general populace has been viewed consistently in the esoteric philosophical tradition as weak and resistant, if not hostile, to philosophical thought.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.575 | 0.330 |
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".