Consultation document on the WY + TF A629 Halifax Road Phase 5 Carbon Impact Assessment
Bibliographic record
Abstract
There are plans for Kirklees Council to implement major changes to the main A629 route from the M62 junction 24 at Ainley Top to the town centre. These changes involve improvement and widening of the A629 to include junction improvements, re-positioning of footways and footway improvements, pedestrian crossing provision, the alteration, demolition and erection of walls, construction of retaining walls, erection of fencing, hard and soft landscaping to include the removal of trees and replacement planting, replacement street lighting, change of use of land to highway and change of use to and formation of car parks at Edgerton Cemetery and land adjoining 103 Halifax Road (within a Conservation Area). This is a highly visible project, having already been the subject of regional TV coverage owing to the question of removal of mature trees, and so should be seen to be transparent in relation to the Council’s declaration of a Climate Emergency. To this end, the Commission examined the Climate Impact Assessment for the project in order to give an independent but informed viewpoint on how this project aligns with the Council’s stated objectives regarding carbon reduction.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.013 | 0.004 |
| Insufficient payload (model declined to judge) | 0.135 | 0.045 |
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".