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Record W2967472191

Drainage Engineers Report - 2018 - Presented at the Drainage Practitioners Meeting

2018· article· en· W2967472191 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDrainage Engineers Conference · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsMinistry of Agriculture, Food and Rural Affairs
Fundersnot available
KeywordsDrainageTile drainageChristian ministryAgriculturePosition (finance)Administration (probate law)LoanBusinessEngineeringEnvironmental planningPolitical scienceEnvironmental scienceGeographyFinanceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

SID VANDER VEEN is the Drainage Coordinator for the Ministry of Agriculture and Food, a position he’s held since 1991. He is responsible for the administration of the Drainage Act which includes providing training, administering a grant program, interaction with resource agencies and providing guidance to interested groups. He is also responsible for the administration of the Tile Loan Program and the licensing of the tile drainage industry through the Agricultural Tile Drainage Installation Act. Sid was raised on a dairy farm in eastern Ontario. He is a civil engineer, graduating from the University of Ottawa in 1985.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.021
GPT teacher head0.227
Teacher spread0.206 · 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