Nanotechnologies and Ethical Argumentation: A Philosophical Stalemate?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When philosophers participate in the interdisciplinary ethical, environmental, economic, legal, and social analysis of nanotechnologies, what is their specific contribution? At first glance, the contribution of philosophy appears to be a clarification of the various moral and ethical arguments that are commonly presented in philosophical discussion. But if this is the only contribution of philosophy, then it can offer no more than a stalemate position, in which each moral and ethical argument nullifies all the others. To provide an alternative, we must analyze the reasons behind the prevailing individual and cultural relativism in ethics. The epistemological investigation of this stalemate position will guide us to the core problem of the relation between theory and action (“Part 1: From a conceptual to a speech act analysis of moral arguments”). The stalemate can be overcome from a pragmatic philosophical standpoint, which combines epistemology, philosophy of language—that is, the philosophy of speech acts—and practical reasoning—that is, reasoning about decision-making (“Part 2: Moral argumentation from a pragmatist perspective”). From this philosophical standpoint, it will be possible to show how philosophy can accompany and support the development of nanotechnologies (“Part 3: Philosophy and the evaluation of the development of nanotechnologies”).
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it