An Eco-philosophical Return to Metaphysics and Ontology: Consciousness is Nature’s Nightmare
Bibliographic record
Abstract
Abstract: This study revisits certain metaphysical, linguistic and ontological issues that arise from an Ecological and Philosophical approach to our understanding and relationship to nature. By anthropomorphizing nature, how can one genuinely honor nature’s own being? What are the connections between human nature and the environment? Can we control nature or does nature control us? Is there a relation between perception and consciousness? What are the implications of our detachment from nature? These questions will be addressed from a philosophical and literary approach, refraining from proposing an empirical/pragmatic approach for the sake of proposing before claims of human action, a dramatic and necessary shift of paradigm. Resumo: Este estudo revisita certos problemas de origem metafísica, linguística e ontológica, que emergem de uma análise ecológica e filosófica da origem do nosso entendimento e relação com a natureza. Antropomorfizando a natureza, como poderemos honrar o próprio “ser” da natureza? Quais relações estabelecemos entre natureza humana e o meio ambiente? Controlamos a natureza ou ela nos controla? Há relação entre percepção e consciência? Quais são os resultados do nosso distanciamento da natureza? Estas questões serão analisadas sob perspectiva filosófica e literária, distanciando de uma proposta estritamente empírica e pragmática, no intento de, antes do chamado por mais ação humana, propor uma dramática e necessária mudança de paradigma.
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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 | 0.004 | 0.005 |
| 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 | 0.055 |
| Scholarly communication | 0.009 | 0.015 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".