Report on surveys of Canadian inventory of lawn, garden and other small mobile outdoor power equipment
Bibliographic record
Abstract
Power typeElectric hedge trimmers/hedgers outnumber gas by over 3:1.Among electric hedge trimmers/hedgers, corded outnumber cordless/battery by nearly 2:1. Key differences.Results do not show any key differences between provinces/territories or rural or urban residents in terms of hedge trimmer/hedger power types. Household Survey of Small Mobile Outdoor Power Equipment -December 2021 Q4How many times per month/per week does the gardener or landscaper maintain the yard, lawn, garden, or other landscaped area at your business's location?1. SPECIFY NUMBER OF TIMES PER WEEK> 2. SPECIFY NUMBER OF TIMES PER MONTH> 7. DON'T KNOW 9 REFUSED Q5 How long does it take the gardener or landscaper to complete services each time?Q5a Would you say it takes them.... 1. OUI, POURSUIVRE 2. NON, DEMANDER UN REPRÉSENTANT DE
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.009 |
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".