View of Ethics and the Existence of Life from Pre-existence Logic Viewpoint
Bibliographic record
Abstract
In the information explosion society, traditional ethic morality is gradually being forgotten, alienated and even subverted under the impact of desire, interest, and technical rationality. In this particular time when the old values are deconstructing and new values have not been established, people begin to feel indecisive, confused, and lost; various psychological diseases and distorted social phenomena appear everywhere. This article discusses the relationship between traditional ethical morality and life existence. It is to explore the new balance point in people’s heart through revealing the significance and value of ethical morality in the life existence. Key words: pre-existence logic, ethic morality, inevitability, category Resume: Dans la societe caracterisee par l’explosion d’informations, sous la pulsion du desir, de l’interet, de la raison technique, les morales traditionnelles s’effacent peu a peu, s’alienent et meme subvertissent. Dans le contexte actuel ou les anciennes valeurs se deconstruisent, les nouvelles valeurs restent a etablir, l’homme est envahi plus que jamais par la perplexite, des maladies psychologiques et des phenomenes anormaux sociaux apparaissent sans cesse. Le present article discute de la relation des morales traditionnelles avec l’existence de la vie, exploite le nouveau point d’equilibre interieur de l’homme a travers la revelation de la valeur des morales pour la vie. Mots-cles: logique anterieure, morale, necessite, categorie 摘要：在資訊爆炸的社會，人們在欲望、利益、技術理性的衝擊下，傳統的倫理道德逐漸淡漠、異化甚至顛覆；在舊價值解構，新價值無法確立的當下，人們的心理逐漸出現了前所未有的彷徨、困惑與迷失，心理疾病和扭曲的社會現象層出不窮。本文將探討傳統倫理道德與生命存在的關聯，通過揭示倫理道德本身對於生命的意義和價值，來探求人們內心新的平衡支點。 關鍵詞：先驗邏輯；倫理道德；必然性；範疇
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.042 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".