Government House, Halifax : archaeological resource impact assessment
Bibliographic record
Abstract
Davis Archaeological Consultants Limited conducted an archaeological resource impact assessment of renovations at Government House in Halifax from November 2006 to February 2007. The assessment included surface reconnaissance of the property grounds as well as archaeological monitoring of excavations in the moat, beneath the existing floor in the interior basement, and at the southeast corner of the exterior of the house. \nThree test trenches were also excavated between the carriage house and the north side of the main house which were monitored by an archaeologist. Archaeological resources were observed in the moat as well as beneath the floor of the basement and on the south wall of the carriage house in the excavated trench. Recommendations for monitoring of any ground disturbance inside the carriage house have been made. Early nineteenth century artifacts were observed in a disturbed context \nin the gardens on the southeast side of the house. No additional monitoring is required in those areas investigated by archaeologists. However, recommendations for monitoring on the west side of the house in the gardens and on the east side of the grounds near the entrance to the house have been made if future ground disturbance is to occur in hhese areas. These areas have not been investigated and may contain in situ archaeological resources.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".