BLASTING IS NO WAY OUT : QUEBEC ESCAPES FUTURE PROBLEMS BY SCRAPPING TRADITIONAL METHOD IN FAVOR OF A HIGH-PRESSURE WATER CLEANING AND OVERCOAT SYSTEM
Bibliographic record
Abstract
Traditional sand-blasting proved inappropriate for a cleaning and overcoating project on the Quebec bridge, a structure of recognized historic importance that was due for rehabilitation to address problems caused by erosion and rust. In April 1999, the Quebec Bridge Reclamation Project began. It has cleaned and coated half of the south and north arms and the portals of the structure, which is made of riveted steel and has an overall length of 3,239 ft., a width of 94 ft., and runs 340 ft. above the water. It carries a rail line, two pedestrian walkways and three vehicle lanes. The difficulties with traditional methods became apparent when inspections revealed crevice corrosion and pack rust that sandblasting would have little effect on. Traditional zinc-based coatings will not alter the chemistry of the crevices suffering from corrosion; in fact, sealing them will hasten it. Treatment with a Reacted Alkaline Viscolastic Calcium Sulfonate coating system can stop the process.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".