Telepresence and Tele-absence: A Phenomenology of the (In)visible Alien Online
Bibliographic record
Abstract
Proliferating media forms, from tablets to Twitter, are changing communicative practice, delimiting new experiential horizons, and thus providing phenomenological research with novel variations on the experience of self and other. Videoconferencing via Skype or FaceTime offers prominent examples of these changing forms. Despite the use of these communication technologies in both educational contexts and everyday life, educational videoconferencing has been described in the research literature as “a hidden mode of delivery, employing invisible pedagogical techniques.” In this study I address this situation of simultaneous familiarity, invisibility and uncertainty by focusing particularly on the lived experience of space, the body and eye contact in videoconferencing contexts. This study suggests that the disruption of spatial coherence and power of gaze and mutual gaze are all but unavoidable features of this experience. It concludes by emphasizing the importance forms or expressions of absence, such as the diminution of eye contact, or the importance of not always being perceived as performing or “on” in videoconferencing contexts.
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 | 0.002 | 0.006 |
| 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 | 0.022 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".