Experimental evaluation of remaining strength of crossarms in Gulfport transmission line wood structures
Bibliographic record
Abstract
Electrical transmission lines in Canada and elsewhere widely utilize wood structures to support electrical conductors. The Gulfport structure is one of the largest wooden structures used in Canada’s electricity transmission networks. Continuous exposure of crossarms to wide-ranging temperature, moisture, and load conditions makes them vulnerable to internal decay and failure under adverse weather conditions, such as windstorms and snowstorms. These failures can result in forced outages and customer disruptions with significant economic losses, and therefore the electrical utility industry has taken a keen interest in developing condition-assessment methods to support cost-effective replacement of aged wood crossarms. At present, there is no dataset available regarding the remaining strength of wood pole crossarms exposed to the aboveground environment for 30–40 years of service life in Canada. This paper presents a comprehensive experimental study focussed on evaluating the remaining strength distribution in a sample of crossarms removed from service. The experimental data presented in the paper are essential to assess remaining life and develop guidelines for condition assessment of crossarms.
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 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".