Kanada’nın Ontario eyaletinde tarımsal yapı (1867-1975 dönemi)
Bibliographic record
Abstract
KANADA’NIN ONTARIO EYALETİNDE TARIMSAL YAPI\n(1867–1975 DÖNEMİ)\nKanada, yüzölçümü ile nüfusu arasındaki dengesizlik bir tarafa var olan az nüfusun da ülke toprakları içerisine dengeli olarak dağılmadığı bir ülke durumundadır. Buna rağmen Kanada bugün dünyadaki iktisadi ilişkiler ve işleyişlere etkisi olan gelişmiş ülkeler arasında yer almaktadır. Kanada’nın ekonomisinde ülkeye yapılan ilk göçlerden beri tarımın önemli bir yeri olmuştur. Kanada bugün buğday üretiminde eski Sovyet ülkeleri, A.B.D. ve Hindistan’dan sonra gelmesine rağmen, dünyanın en çok buğday ihraç eden ülkesi durumundadır. Bunun sebebi, topraklarının büyüklüğüne nispetle nüfusunun az olmasından kaynaklanan iç tüketim azlığıdır. Kanada’nın gelişmiş ekonomisinde en önemli yeri Ontario eyaleti tutmaktadır. Ontario, ekonomik yapısı ve göstergeleri ile adeta Kanada’nın küçük bir modeli gibidir. Ontario’nun iktisadi tarihi ile Kanada’nın iktisadi tarihi mukayese edildiğinde birbiri ile hemen hemen örtüştüğü görülmektedir.\nABSTRACT\nAGRICULTURE STRUCTURE OF ONTARIO PROVINCE OF CANADA (1867–1975)\n\nCanada has a large land with a relatively small population. This population has not divided equally between its regions. However, the Canadian economy has taken its place among the developed countries. In Canadian economy agriculture had a very important role since the first settlers had arrived the country. Nowadays in the matter of producing wheat, Canada takes its place after former Soviet Union countries, USA and India. Never the less Canada is the largest wheat exporter in the world. Canada has a large land with a relatively small population as a result consumption is limited. Province of Ontario holds on the most important place in the developed economy of Canada. Ontario is a small model of Canada with its economic structure and indicators. Economic history of Canada and Ontario are overlapping when they are compared to each other.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".