The Three I's for Ethics as an Everyday Activity: Integration, Intrinsic Valuing, and Intersubjectivity.
Bibliographic record
Abstract
In addressing the theme of ethics as an everyday activity. this essay makes acase for the primacy of preventive ethics over interventional ethics.Preventive ethics aims at creating a condition of viability and wellbeing forall members of the earth community. an ethical ideal that follows from thethesis that alllife~phenomena are interconnected and interpenetrating. Bysharp contrast, interventional ethics .functions to redress the alreadyaccrued harm and damage that results from not paying attention, on aneveryday basis, to the community members' bio~social~psychic conditions ofwellbeing. This essay suggests three interlinked practices for preventiveethics. First, we must integrate the mind/body, self/other, and subject/object.Second, we must learn to value the world intrinsically, as we do in aestheticappreciation. Third, we must cultivate the art of intersubjectivity in order tocounter the prevailing habit of objectifying the other.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.060 |
| Scholarly communication | 0.017 | 0.016 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.006 | 0.013 |
| 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".