THE BLACK LIVES MATTER MOVEMENT IN CANADA, 2013-2020: ON THE INTERNATIONAL CHARACTER OF THE MOVEMENT
Bibliographic record
Abstract
The article is devoted to the history of the Black Lives Matter movement and its evolution as an international movement, on the example of the activities of the Black activists in the United States and Canada in 2013– 2020. These issues have not been given much attention in domestic studies. However, examining the international connections of the Black Lives Matter activists helps to better understand the spread around the world of the mass protests against racism in 2020. The paper analyzes the activities of the Black Lives Matter organizations in two countries and their interaction. The article shows that the Black Lives Matter Global Network from the United States pioneered the Black Lives Matter organization in Canada and provided a direct financial support to the Canadian activists. The Canadian and US activists have jointly participated in the direct actions in both the US and Canada. The Black activists in both countries shared a common ideological platform of anti-racism and an intersectional approach to analyzing the conditions of the Blacks in society; they also expressed a desire to create an international movement. The article is based on the media publications and the materials of the American and Canadian organizations of the “Black Lives Matter” movement; those documents have never been used by Russian researchers.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.027 | 0.009 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".