It’s Harry Houdini. Be careful who you trust.
Bibliographic record
Abstract
Things are not always as they seem, my friend. Never trust the dead. [sound file in the digital version] In Speaking into the Air: A History of the Idea of Communication, John Durham Peters (2000) draws upon the literary insights of Franz Kafka to offer these thoughts on the ghostly qualities of communication: As Kafka notes in an epigraph to this book, those who build new media to eliminate the spectral element between people only create more ample breeding ground for the ghosts. A cheerful sense at the weirdness of all attempts at communication offers a far saner way to think and live. (pp. 29-30) It is with attentiveness to fostering a new media practice that is haunted by the past, imbued with a sense of place, and rooted in an exploration of the weirdness of communication that we offer our reflections on two locative media projects created in Montréal, Urban Archeology: Sampling the Park and The Haunting. Urban Archeology was produced for Parc Émilie-Gamelin, a highly contentious and socially charged small
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.079 | 0.059 |
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".