Bibliographic record
Abstract
Consciousness is the key to a life examined, for better and for worse, our beginner's permit into knowing all about the hunger, the thirst, the sex, the tears, the laughter … the flow of images we call thought, the feelings, the words, the stories, the beliefs, the music and the poetry, the happiness and the ecstasy. At its simplest and most basic level, consciousness lets us recognize an irresistible urge to stay alive and develop a concern for the self. [And] at its most complex and elaborate, consciousness helps us develop a concern for other selves and improve the art of life. Antonio Damasio (1999, p. 5) Setting the tone: some prolegomena Emotions have traditionally been thought of as distinct from reason, just as thinking was considered to be distinct from feeling (LeDoux, 1996, pp. 15, 24). This hallowed philosophical view goes back to the Hellenism of more than two millennia past. Plato, in Phaedo , affirmed that emotions made clear thinking difficult. On the other hand, he gave short shrift to the view that emotions were useful to improve thinking, especially the thinking that leads to practical judgments. Today most psychologists are convinced that our thinking about serious social problems will be significantly distorted if we try to exclude consideration of the emotions associated with those problems. Impairment or neglect of either one diminishes them both as, indeed, they seem to constitute a single faculty. This chapter is dedicated to exploring these propositions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.022 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".