High and Dry - Contextualizing Domestic Root Cellar Drains in Southern Ontario
Bibliographic record
Abstract
The subterranean root cellar is the quintessential feature of rural nineteenth-century archaeological sites in Ontario and much archaeological, historical, and architectural research on rural farmsteads has focused on defining and understanding these structures. However, this work has neglected an important component of this feature – the root cellar drain. This paper contextualizes these features within their broader nineteenth-century ideals of drainage and goes on to tackle the topic with the use of statistical analysis on the associated geographical, social, and economic attributes. The discussion presents opportunities that are present from the vast quantities of historical sites that have been excavated in the past several decades. Going beyond simple comparisons of small handfuls of sites, one future for historical archaeology lies in statistical approaches on vast quantities of data available in the grey literature. As a result, this study shows a slow but steady acceptance of scientific farming practices in rural Ontario but also resistance, variation, and contraction of the published agricultural literature at the time. This goes to show that even the humblest, most mundane archaeological features have interesting stories to tell.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".