Bibliographic record
Abstract
Alberta Environment undertook the collection, consolidation and analysis of pesticide sales data from pesticide vendors in Alberta for the 2003 calendar year.The objective was to document the volume and types of pesticides sold in Alberta, and to prepare a general overview of the sales data in relation to sectors of use, types of use, individual active ingredients, chemical groupings, as well as geographic breakdowns by river basin and municipality.This project is an ongoing survey conducted every five years, with previous reports being done for 1993 and 1998.The 1998 report followed the chemical grouping format used by Quebec in their reporting on pesticide sales in their province, and with the proposed National Pesticide Sales Database, however the 2003 report also includes individual active ingredient sales information.Pesticide sales data was requested from registered pesticide vendors and wholesalers in Alberta in early 2004, under the authority of the Environmental Protection and Enhancement Act and supporting regulations.Approximately 92% compliance with the sales data request was obtained.Sales data received was digitized or reformatted to a common database format.Six additional datasets were constructed to assist with sorting and categorizing the sales records by chemical or geographic groups.The datasets were brought into Microsoft Access, where they were linked and various queries were performed.In 2003, a total of 9 264 487.7 kg of pesticide active ingredient (ai) was sold in, or shipped into.Alberta.Pesticides sold into the Agriculture sector accounted for 96.2% of all pesticides sold, with the Commercial/Industrial sector accounting for 3.1% of sales, and the Domestic sector accounting for 0.6% of sales.The types of pesticides sold were predominantly herbicides, at 77.3%.Adjuvants and surfactants made up the next largest category at 14.6%.Insecticides made up 4.7% of sales, while fungicides made up 3.4% of sales.Of the chemical groups, the Phosphonic Acids, Phosphinic Acids group was the largest at 38.1% of overall sales.Sales in this group were made up primarily of glyphosate.However, in the Domestic sector, the Phenoxy Acids group dominated with 35.2% of pesticide active ingredient (mainly 2,4-D) sold.Looking at geographic distribution of sales by outlet location related to major river drainage, sales in the Oldman River basin were highest overall at 21 .4% of the total, followed by sales within the Red Deer River basin at 17.6%, the North Saskatchewan River basin at 15.0%, and the Battle River basin at 14.6%.Pesticide sales were also sorted by natural regions.The Grassland Natural Region constituted over 46% of all pesticide sales, mainly in the Dry Mixedgrass and Mixedgrass sub regions.The Parkland Natural Region contained almost 39% of provincial pesticide sales, mainly in the Central Parkland sub-region.The i
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".