Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Transport Canada, the regulatory body that sets and monitors port and marine facility service standards in Canada, now requires that in-service load tests prescribed in the Canada Shipping Act be applied to bulk material shiploaders that have historically only been load tested during initial commissioning as proof of the design and construction prior to entering service. Load testing requirements include applying a Test Load equal to between 110% and 125% of the Safe Working Load (SWL) over the full range of machine motions, and these tests must be carried out every 5 years. The codes and standards used to design these machines do not require that lateral loads associated with the movements of the machine be taken into consideration in combination with significant loads, which were considered to be applied either statically or independent of other special loads. The SWL of the machine must first be determined, which represents the loads that could reasonably be foreseen as being applied to a machine over its operating life, typically a point load applied at the boom tip in combination with a number of distributed loads applied over the length of the boom. To verify the appropriateness of the SWL, detailed structural modeling is undertaken or original design loads and drawings are reviewed, if available, and a detailed visual, non-destructive condition assessment of the machine is completed. Finally, several methods have been developed to efficiently apply the Test Load in a manner that simulates the factored maximum in-service loads estimated to occur over the operating life of a machine. This paper is not intended to be a comprehensive manual on undertaking load tests on in-service shiploaders. Persons performing such tests must make their own determinations and assume sole responsibility for testing procedures, requirements and results.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it