Human Dignity and the Debate Over Early Human Embryos
Bibliographic record
Abstract
"Human Dignity in Bioethics brings together a collection of essays that rigorously examine the concept of human dignity from its metaphysical foundations to its polemical deployment in bioethical controversies. The volume falls into three parts, beginning with meta-level perspectives and moving to concrete applications. Part 1 analyzes human dignity through a worldview lens, exploring the source and meaning of human dignity from naturalist, postmodernist, Protestant, and Catholic vantages, respectively, letting each side explain and defend its own conception. Part 2 moves from metaphysical moorings to key areas of macro-level influence: international politics, American law, and biological science. These chapters examine the legitimacy of the concept of dignity in documents by international political bodies, the role of dignity in American jurisprudence, and the implications--and challenges--for dignity posed by Darwinism. Part 3 shifts from macro-level topics to concrete applications by examining the rhetoric of human dignity in specific controversies: embryonic stem cell research, abortion, human-animal chimeras, euthanasia and palliative care, psychotropic drugs, and assisted reproductive technologies. Each chapter analyzes the rhetorical use of 'human dignity' by opposing camps, assessing the utility of the concept and whether a different concept or approach can be a more productive means of framing or guiding the debate."--Publisher's website.
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.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| 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".