⚘Semiotics and Dark Web Memes ☀ Robert W. Gehl
Bibliographic record
Abstract
Pop up... and lighten the gloom of the magical underworld of folk culture fermenting through Tor's onion sites. This event, chaired by William Passarini (Mansarda Acesa), is part of the activities of the 2022 International Open Seminar on Semiotics: a Tribute to John Deely on the Fifth Anniversary of His Passing, cooperatively organized by the Institute for Philosophical Studies of the Faculty of Arts and Humanities of the University of Coimbra, the Lyceum Institute, the Deely Project, Saint Vincent College, the Iranian Society for Phenomenology at the Iranian Political Science Association, the International Association for Semiotics of Space and Time, the Institute for Scientific Information on Social Sciences of the Russian Academy of Sciences, the Semiotic Society of America, the American Maritain Association, the International Association for Semiotic Studies, the International Society for Biosemiotic Studies, the International Center for Semiotics and Intercultural Dialogue, Moscow State Academic University for the Humanities and the Mansarda Acesa with the support of the FCT - Foundation for Science and Technology, I.P., of the Ministry of Science, Technology and Higher Education of the Government of Portugal under the UID/FIL/00010/2020 project. *** Robert W. Gehl is a Fulbright scholar and award-winning author whose research focuses on contemporary communication technologies. He is currently the Ontario Research Chair in Digital Governance for Social Justice at York University. He has published over two dozens articles in journals such as New Media & Society, Communication Theory, Social Media + Society, and Media, Culture and Society. His books include Reverse Engineering Social Media, which won the Nancy Baym Book Award from the Association of Internet Researchers, and Weaving the Dark Web, published by the MIT Press in 2018, and Social Engineering, forthcoming from MIT Press in 2022. *** Homepage: https://www.uc.pt/fluc/uidief/act/io2s Auditorium: https://www.uc.pt/fluc/uidief/act/io2s/auditorium *** Technical support assured by Robert Junqueira. The cover image for the video was designed by Zahra Soltani.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.012 |
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".