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Record W2548445994

Metropolitan Toronto and Region Conservation Authority Fonds, 1957-1976, n.d.

2016· article· en· W2548445994 on OpenAlexaboutno aff
Anne Adams

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsnot available
Fundersnot available
KeywordsFlood controlMetropolitan areaGeographyLand reclamationSoil conservationRecreationWatershedFlood mythArchaeologyWildlifeForestryEnvironmental protectionHydrology (agriculture)Political scienceAgricultureEngineeringEcologyLaw
DOInot available

Abstract

fetched live from OpenAlex

The Metropolitan Toronto and Region Conservation Authority was created in February of 1957. This came from a merger of 4 watershed authorities in the 950 square mile region extending from Lake Ontario to a line just south of Orangeville and Whitby, east from Brampton to Ajax and from Mono Mills to Dagmar. The Authority took in the watersheds of the Humber, Etobicoke-Mimico, the Don and the Rouge-Duffin Creek, Highland Creek-Petticoat Creek. It is one of 36 conservation authorities in Ontario. The Authority is concerned with the establishment of conservation areas, reclamation of flood plains and wasteland, historical sites, land use, reforestation, water control and the general conservation of wildlife, soil, water and forest areas. It operates conservation areas which are open to the public for recreational use. It also operates Black Creek Pioneer Village and it operates 5 dams for flood control.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.179
Threshold uncertainty score0.597

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1790.025

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.

Opus teacher head0.016
GPT teacher head0.181
Teacher spread0.164 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueBrock University Digital Repository (Brock University)Same topicSoil erosion and sediment transportFrench-language works237,207