Bibliographic record
Abstract
As the transatlantic relationship moves further away from the Cold War context that defined it for many years, it also becomes, by definition, less of an exclusive relationship. The common interests of Canada, Germany, and the other transatlantic partners are shared by other states around the world. The values and common identity that were always said to define the Atlantic community have become at once more exclusive (the European Union) and less exclusive (the community of democratic states) but also, absent the ideological conflict of the Cold War, perhaps less relevant. What, therefore, might the future of the transatlantic relationship look like? Grand projects like the new transatlantic marketplace still exist, but as StormyAnnika Mildner points out, interests diverge as much as they overlap, and European Union cooperation with Canada is often an afterthought to its relationship with the United States. Existing regional institutions, and most notably the European Union, complicate matters as well. As the EU develops into a global actor, it acts as an extra party to every relationship, a player whose vision is potentially different than that of any single member state. With an eye to its potential to colour policy, Stefan Ganzle and Steffi Retzlaff examine the way the European Union is portrayed in the Canadian media.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.043 | 0.005 |
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".