NAVIGATING CONVERGENCE AND DIVERGENCE: A RE-EVALUATION OF INDIA–CANADA BILATERAL TIES IN A CHANGING GLOBAL ORDER
Bibliographic record
Abstract
The bilateral relationship between India and Canada has witnessed a dynamic evolution shaped by historical ties, shared democratic values, and mutual economic interests. In recent decades, however, this relationship has been marked by a complex interplay of geopolitical convergence and strategic divergence. This article seeks to critically examine the evolving geopolitical dynamics and bilateral engagements between India and Canada while assessing the geoeconomic potential of their relationship in the context of the 21st century. India and Canada have made concerted efforts to advance a Comprehensive Economic Partnership Agreement (CEPA), envisioned as a Free Trade Agreement (FTA), with commitments aimed at tariff liberalization and reforms to improve the commercial landscape. Despite the presence of certain bilateral frictions, both nations have increasingly demonstrated a willingness to enhance trade cooperation and economic collaboration. Within this context, the present study seeks to assess the extent of geopolitical and geoeconomic convergence and divergence that has influenced New Delhi’s strategic interest in cultivating a more expansive and multifaceted partnership with Ottawa. Furthermore, the paper aims to explore additional factors contributing to the strengthening of multilateral collaboration and cooperation between India and Canada in the contemporary global context.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".