Opportunities in British Columbia (with local references), 1911.
Bibliographic record
Abstract
No. 20, giving varieties of trees suitable for different localities.APPLE ORCHARD, COST OF.In the case of unirri- gated land the cost would be approximately: 20 acres at $200 per acre, $4,000; fencing, $250; preparing land (ploughing and harrowing), $150; trees (yearlings), 80 J per acre at 15c. each, $240; setting out trees, 1,600 at 8c. each, $128.Total, $4,768.Cost of maintenance for 5 years: Cultivating, pruning, spraying, etc., $30 per acre, per year, $3,000; making the total cost of the ^_ orchard at the end of the 5th year, when it should be be- ginning to give commercial returns, $7,768.BEEKEEPING.Conditions are favourable, especially in the fruit-growing districts.Honey sells for 25 cents per pound.70,000 pounds imported in 1909.CATTLE.The Fraser River Valley and the interior plateaus are peculiarly adapted to cattle raising.Prac- tically all the beef raised is grown under the range con-*"* ditions.The local demand from June to December is r-supplied within the province.For the rest of the yearo-OPPORTUNITIES?™ BRITISH COLUMBIA AGRICULTURE 5 the supply is obtained from Alberta.Very little winter fattening is done in the province.Ranch cattle, chiefly Shorthorn and Hereford grades, sell from 3£ to 5 cents per lb., alive at shipping points.DAIRYING.Good water and luxuriant grasses are in plenty.A favourable climate on coast.Local demand is constantly increasing.Twenty co-operative and private creameries are established.The Provincial Government aids establishment of co-operative creameries.Out- put of creameries in 1909, 2,062,500 pounds; dairies, 562,500 pounds, all sold locally.Average price, 341 cents.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.014 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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".