Bibliographic record
Abstract
The Blue River Rest Area is a study of the marginal condition of the roadside. It is placed within a town as a strategy for improving both the road and the roadside community through a cross fertilization of experiences and economies. Blue River is an accumulation of services responding to the infrastructure links running through the North Thompson valley. These include the Yellowhead Highway, the Canadian National Railway, the Trans Mountain Oil Pipeline and a power transmission corridor. The town remains isolated from the highway through berming and a system of largely unused frontage roads. As a margin between the highway and the town park space, this rest area is an investigation of perspective and ground. It seeks to mediate the relationship between the view from the road, the view of the resting traveler, and the experiences of the facility from the town itself. The picturesque notion of the road passing through a natural landscape is physically imbedded in the site through a blurring of distinction between land, roadside, and roadside facility. The rest area attempts to exploit the discrepancies between the views and eye levels of the different user groups and to find resolution in disparate, possibly intimidating elements through the creation of new vantages and vistas. It attempts to use overscale and even ugly elements of the road to create unexpected opportunities for rest and reflection.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 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".