Translation and Community-building for Transnational Learning in Cuba and Russia
Bibliographic record
Abstract
Anne Macpherson, PhD, is a member of Brockport's History faculty. Raised in Canada, she did French immersion and then studied Spanish intensively in Costa Rica. A specialist in 20th century Caribbean political, gender, and labor history, she has done research in Belize and Puerto Rico. Her book on Belizean women's history won the Association of Caribbean Historians' (ACH) book prize in 2008. Her book on New Deal labor reform in Puerto Rico, 1937-41, is nearing completion. She teaches modern world/food history, Latin American, and Caribbean history. She has attended ACH conferences in Jamaica, Puerto Rico, Belize, and most recently Cuba.\nBarbara LeSavoy, PhD, is Director of Women and Gender Studies at Brockport and teaches Global Perspectives on Women and Gender among other classes. She researches women’s global human rights, sex and gender in literature and popular culture, intersectionality and educational equity/success, and women’s stories as feminist standpoint. She has founded two journals, serves as lead faculty for a Collaborative Online International Learning project linking students at Brockport and Novgorod State University in Russia and teaches a summer Women and Gender Studies Seminar at the NY Institute of Linguistics, Cognition, and Culture at St Petersburg University in St. Petersburg, Russia.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".