Bibliographic record
Abstract
Abstract | Dis/Appearances on a Highway constructs elements of a road trip from Vancouver to Stewart, BC. Juxtaposing fragments of text describing a personal narrative with photographs of the landscape that appear to be taken from the secure distance of a car, the work explores a terrain experienced as an otherness. The highway does not offer its user an idealized countryside or untouched wilderness but is instead an artery running up the province, around which clusters of towns present grim motels, abandoned mines, and churches. For this driver, the mountains grow into a foreboding presence.At first glance, the photography in Dis/Appearances could be read as unassuming snapshots, but there is a fraudulence and playfulness in their construction. By disrupting the traditional road-trip snapshot with the illusory layer of the model windshield, the images create a fictional subjectivity. In Dis/Appearances, the vastness of western Canada does not signify the journey of an adventurer, but rather an unstable relationship negotiated through the window of an ever-transient vehicle.Résumé | Dis/Appearances on a Highway met en scène les éléments d’un voyage en voiture de Vancouver à Stewart, en Colombie Britannique. En juxtaposant des extraits de textes décrivant une histoire personnelle avec des images de paysages qui semblent avoir été prises depuis l’intérieur d’une voiture, cette œuvre explore un espace perçu comme une altérité. L’autoroute n’offre pas à ses usagers un paysage rural idéalisé ou une nature intacte mais plutôt une artère traversant la province et autour de laquelle de petites villes exhibent des motels lugubres et des mines et églises abandonnées. Pour ce conducteur, les montagnes sont une présence menaçante à l’horizon.A première vue, la photographie de Dis/Appearances pourrait être perçue comme une série d’images sans prétention si ce n’était pour la fraude et l’aspect ludique que l’on voit dans leur construction. En bousculant les normes des images d’un voyage en voiture traditionnel par le biais d’un pare-brise illusoire, les images créent une subjectivité fictive. Dans Dis/Appearances, les vastes étendues de l’Ouest canadien ne rappellent pas le périple d’un aventurier mais plutôt une relation instable naviguée au travers des vitres d’un véhicule en mouvement perpétuel.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.002 |
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".