Bibliographic record
Abstract
My visual ethnography uses Facebook Messenger’s video-chat feature to “travel” and “be” in different parts of Calgary. In the interwoven analysis, I draw from Bart Cammaerts concept of self-mediation to illustrate how, in many ways, I abided by the intended uses video-chatting offers. Alternatively, I draw on Gordon and Walter’s concept of meaningful inefficiencies to demonstrate how I created a digital experience that was intentionally playful; I disregarded the need to obtain visibility in an online space, thereby challenging notions of governmentality. I reference Ghel and McKelvey’s work on digital parasites to articulate the parasitic nature of this experience, not only between the human-computer relationship, but also between human-human relationships. Moreover, I discuss how I subverted data colonialism at the expense of commodifying the data at the other end of the line. This digital experience contributes to literature about visibility in online spaces in an alternative way; it was not concerned with curating an online persona or acquiring likes and shares. The screenshots illustrate the technological noise that disrupts the call, further positing the intentional playfulness and inefficiency of the experience. The limitations of this experience relate to themes of resistance. While in some ways I resisted data colonialism, the only way to truly resist one’s data from being collected is to create an experience that is offline and untraceable. This experience welcomes the messiness and hybridity of digital platforms and provides an opportunity for purposeful misconnection.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".