Bibliographic record
Abstract
Studies commissioned by the Organic Agriculture Centre of Canada (OACC) show $1 billion is a conservative estimate for total retail sales of certified organic products through all market channels in 2006. • According to data provided by The Nielsen Company (2006), Canadian supermarkets sold $412 million worth of certified organic food products in 2006. This represented 28 % growth from 2005 to 2006, with 31 % growth in pre-packaged products and 22 % growth in fresh product. Supermarkets in Alberta are showing the highest growth in sales from 2005 to 2006 (44%), followed by BC and the Maritimes (34%), Ontario (24%) and Quebec (21%). • Nielsen (2006) also estimates that $175 million is sold though smaller grocery stores, warehouse clubs, drug stores and other specialty stores. • Information obtained from industry sources indicates that large natural food store chains and the independent health food stores account for another $330 million. • Organic food box delivery companies and CSA’s have sales totalling $20 million. • Direct sales of certified organic produce at farmers markets across the country and at the farm gate are estimated to be worth at least $50M.
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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.333 | 0.100 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".