Bibliographic record
Abstract
Background This article builds on McLuhan’s medium theory to address the undertheorized role of animals as mediators in network cultures.Analysis McLuhan’s medium theory aligns with and to some extent anticipates contemporary discussion about posthumanist thought that recognizes that human perception and experience are shaped by and extended through non-human tools and connections. Both digital culture and the endangered status of the natural world now call upon us to elaborate less anthropocentric concepts of mediation to understand our interdependence with the non-human world.Conclusion and implications Using as illustration various moments of media change, including early coins and the first cat videos, this article argues that the proliferation of animal imagery is significant not only in the affective management of digital practices and investments, but more broadly in the management of cultural and ecological risk.Contexte Cet article se fonde sur la théorie des médias de Marshall McLuhan afin de traiter du rôle sous-théorisé des animaux en tant que médiateurs dans les cultures du réseau.Analyse La théorie des médias de McLuhan s’aligne avec—et dans une certaine mesure anticipe—les discussions contemporaines sur la pensée post-humaniste reconnaissant que des connections et outils non-humains contribuent à former et à prolonger la perception et l’expérience humaines. La culture numérique et le statut menacé du monde naturel exigent que nous élaborions des concepts sur la médiation qui soient moins anthropocentriques afin de mieux comprendre notre interdépendance avec le monde non-humain.Conclusion et implications Cet article se rapporte à divers changements médiatiques, y compris la création de certaines pièces de monnaie anciennes et les premières vidéos sur les chats, pour soutenir que la prolifération d’imagerie animale est importante, non seulement dans la gestion affective de pratiques et d’investissements numériques, mais aussi plus généralement dans la gestion de risques culturels et écologiques.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.043 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".