Bibliographic record
Abstract
Abstract.This paper is an effort to defend Heidegger's essentialist philosophy of technology against the charge of determinism. Rather than merely accepting its all-encompassing power, Heidegger provides three responses to the challenge of technology: 1) “aggressive essentialism” or the elimination of technology; 2) “moderate essentialism” or the reform of political, social and cultural institutions to better reflect the changes that technology brings; and 3) “passive essentialism” or the acceptance that we cannot act against or direct technology. Résumé.Dans cet article, l'auteur s'efforce de défendre la philosophie d'essentialisme de technologie proposée par Heidegger contre l'accusation de déterminisme. Plutôt que simplement accepter le pouvoir omniprésent de la technologie, Heidegger fournit trois réponses au défi qu'elle présente: 1) “ l'essentialisme agressif ”, ou l'élimination de la technologie; 2) “ l'essentialisme modéré ”, ou la réforme des institutions politiques, sociales et culturelles pour mieux refléter les changements apportés par la technologie; et 3) “l'essentialisme passif ”, ou l'acceptation du fait que nous ne pouvons ni agir contre la technologie ni la diriger.
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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.037 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| 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".