History: A chronological record of events, as of the life or development of a people or institution, often including an explanation of or commentary on those events.
Bibliographic record
Abstract
It was in the fall of 2001 when we began our journey into discovering the history of wastewater treatment in the City of Guelph. We quickly learned that this was not going to be an easy task, as historical records on wastewater were not in abundance. Periodically dedicating time over 18 months saw us wind along a very fascinating path. As well as coming across some very old and interesting documents, we also met some new faces and were reacquainted with some familiar ones. We feel we have been rather successful, and thorough in discovering the available information for this project. We could not have gathered the amount of information we have without the help of many. Assistance from the City of Guelph Clerks division and Waterworks department was very much appreciated. In particular, we would like to acknowledge Ms. Kathleen Wall (Guelph Museums) for her help in attaining some of the fantastic facility pictures. Also to Mr. Steve Robson (CH2M Hill), for all of his efforts that went into preparing a very successful visit for us, at the CH2M Hill Toronto Office. Last but not least, to Mr. Wayne Key, plant superintendent, for his interest and full support of this project, from its’ inception to completion. Everyone has heard of being in the right time at the right place. We are so pleased that we were in this right time and right place, so we could be the ones to be the first to document a complete history of wastewater treatment in Guelph. The timing could not have worked out better as it has allowed all of us to celebrate 100 years of environmental stewardship.
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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.018 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.069 | 0.033 |
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".