The Pedagogy of Momus Technologies: Facebook, Privacy, and Online Intimacy
Bibliographic record
Abstract
Through cable and wireless connections at home and at work, through Wi-Fi networks and wireless spots in hotels, coffee shops, and town squares, we are indeed connected to each other. But what is the phenomenology of this connection? Technologies of expression such as Facebook, MySpace, Twitter, and other social networking technologies increasingly become like Momus windows of Greek mythology, revealing one's innermost thoughts for all to see. They give access to what used to be personal, secret, and hidden in the lives of its users, especially the young. In this article I explore the pedagogy of Momus effects of social networking technologies in the way they may alter young people's experience of privacy, secrecy, solitude, and intimacy. In addition, I examine the forms of contact afforded by instant messaging and texting on wireless mobile technologies such as the cell phone (and its wireless hybrids) for the way young people are and stay in touch with each other, and how intimacies and inner lives are attended to.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".