Indo - Canadian Trade Relation in the Math of Post Reform Period
Bibliographic record
Abstract
The longstanding bilateral relations between India and Canada are built upon a "mutual commitment to democracy", "pluralism", and "people-to-people links1.” \nIn the 1940s and 1960s, because of the personal ties which developed between Indian Prime Minister Jawaharlal Nehru and two Canadian Prime Ministers Louis \nSt. Laurent and Lester B. Pearson Indo-Canadian relations were enhanced. But, India's Smiling Buddha nuclear test had worsened the Indo-Canadian relations in \n1974. 2 However, after1990 Indo-Canadian relations improved due to the major reforms which were introduced in India’s domestic economy particularly in trade \nsector. The larger economic transformation in the Indian economy (1990-91) had attracted the world, where in the Canadian government and business \ncommunity wasn’t exception. In this regard, the proposed paper attempts to study the impact of 1991 reforms on Indo-Canadian trade relations and examine \ntheir bilateral trade relations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".