Speaking Into the iPhone: An Interview With John Durham Peters, or, Ghostly Cessation for the Digital Age
Bibliographic record
Abstract
Conducted by media scholar, Carolyn L. Kane, this interview was recorded on Saturday morning of April 25, 2009, in an empty classroom at MIT, during the MIT6 Media in Transition conference, using Ms. Kane’s iPhone. The morning before, John Durham Peters gave his lecture, “What Ever Happened to Loneliness?” The interview also occurs in honor of the 10th anniversary of Speaking into the Air: A History of the Idea of Communication, a text that bridges European, Canadian, and American communications scholarship within an intellectual framework of lost loves and uncanny ghosts. This 2009 interview extends the discussion to more recent issues of loneliness in light of social networking technologies, critical methods, and coping strategies for the information age, the ghosts of digital media, and the present, past, and future of media studies and archiving in the United States.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.009 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.013 |
| 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".