Meaning and Significance of Moral Disquiet and Other Related Phenomena
Bibliographic record
Abstract
In this text, I explore the phenomenon of moral disquiet as an existential phenomenon with its invariant qualities. This intention makes the paper both methodological and educational. The reason I consider it worthwhile to explore moral disquiet and distinguish this phenomenon from other phenomena is twofold. First, I want to establish a reliable phenomenological research basis and an argument for moral disquiet as an educationally relevant quality. Second, as an educationally relevant quality, moral disquiet must imply phenomenological clarity to avoid confusion with other phenomena that are similar but not the same. I start by exploring the two words ‘moral’ and ‘disquiet’ that constitute the phenomenon 'moral disquiet’. I explore the word disquiet in relation to three related phenomena: fear, distress, and critique. Then I investigate the connection between moral disquiet and tact as presented by van Manen. Finally, I bring in methodological and epistemological arguments to try to substantiate what I have been doing and why the phenomenon of ‘moral disquiet’ is a highly significant educational issue.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.050 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".