Understanding the relationship between ethics, neoliberalism and power as a step towards improving the health of people and our planet
Bibliographic record
Abstract
This article seeks to evaluate the ethical underpinnings of neoliberalism and its associated power relations, and to illustrate the influence of such relationships on the health of people and the planet in the so-called era of the Anthropocene. We seek to reveal the current ethical standing of neoliberalism, and to identify other ethical positions and power relations that could be more conducive to promoting peaceful progress in an era during which all future life on our planet will be increasingly threatened by several organically inter-linked, human-caused crises, including that of the Earth’s biosphere. We conclude that on a planet close to many tipping points, beyond which irreversible entropy may ensue, a shift is needed away from neoliberal and anthropocentric belief systems towards a more ecologically aware perspective on life. Fostering the ethics of greater cooperation, mutual respect, deeper democracy, solidarity and enhanced social justice could facilitate the development of sustainability as a maxim of wisdom and praxis. Ultimately however, such progress requires the transformation of political power, as well as policies that are grounded in new ethical commitments.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".