Halifax Armoury restoration archaeological monitoring, Halifax Regional Municipality : final report
Bibliographic record
Abstract
The Halifax Armoury is a masonry building constructed for the Canadian Department of Militia and Defence, now the Department of National Defence (DND), in the late nineteenth century. The building, now a National Historic Site, is still owned and operated by DND. Currently, the exterior masonry, windows, roof and other portions of the structure require repair and restoration. To facilitate restoration of the building’s foundation, a trench was to be mechanically excavated immediately adjacent to, and surrounding, the entire structure. Since the trench was to be excavated within a National Historic Site, specifications for the project required that a qualified archaeologist monitor the excavation and address any archaeological resources encountered during the course of the excavation. As a consequence of these archaeological requirements, Cultural Resource Management (CRM) Group was retained through Dillon Consulting Limited to undertake archaeological monitoring during all mechanical excavations. \n \nThe archaeological monitoring was undertaken by CRM Group Archaeological Steve Garcin with technical supervision provided by W. Bruce Stewart. The monitoring project was conducted according to the terms of Heritage Research Permit A2011NS23 (Category ‘C’), issued to Stewart by the Heritage Division. Since a significant portion of the perimeter trench was to be excavated on municipal rather than federal lands, a provincial heritage research permit was required. This report describes the study, presents its results and offers resource management \nrecommendations.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".