...And Hear The Coffee: The Brewcast Project as Diegetic Prototype for a \nPost-smartphone Design Fiction
Bibliographic record
Abstract
I have designed the Brewcast project, a communication interface that attempts to combine \ncoffee drinking, social networking technology and telecommunication interface design. By \nmaking a functioning prototype, I attempt to problematize current design conventions and \nmotivations, placing value on the narrative of the design, a design fiction. The design fiction I \ncreate in my work takes place in a near-future where post smartphone culture, ubiquitous \ncomputing and wide spread internet or network access has replaced the need for individualized \nsmart-phones and social networking apps. Through this widespread access to wi-fi hotspots that \nprovide city-wide internet access people may be less inclined to carry around a personal \ncommunication device because of access to internet based connection almost anywhere. Social \nnetworking may revert back to traditional social collective interaction styles with the obsolescing \nof individualized mobile communication technologies. Durational interactions, like coffee \ndrinking, could become a model for these social interaction technologies.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".