Emotions, metaphors and reality : a phenomenological approach to William Lyall's Intellect, the emotions and the moral nature
Bibliographic record
Abstract
In their work The Faces of Reason: An Essay on Philosophy and \nCulture in English Canada 1850-1950, Leslie Armour and Elizabeth \nTrott consider that the Canadian way of doing philosophy uses \nreason in an accommodationist manner. I propose in this thesis that \nWilliam Lyall's Intellect, the Emotions and the Moral Nature \nrepresents a splendid example of the accommodationist use of \nreason. \nThe Maritimes philosopher advances the idea that emotions \nhave a cognitive value, a claim which I support by trying to put \nLyall's ideas in a modern framework offered by French philosopher \nJean Paul Sartre. Latent in Lyall's work can also be found a theory \nof metaphor which I try to revive with the help of French \nphilosopher Paul Ricoeur. \nThus, following Lyall, emotions and reason are always in a \nbalance and they work together in order to give us a more \nconsistent and fuller grasp of reality.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".