Intellectual lessons from Dr Aleida Guevara (Ernesto ‘Che’ Guevara's daughter) and a special meeting with Aleida March (Ernesto ‘Che’ Guevara's wife) – Conversations on education, revolution, and socialism of care, Havana, May 2024
Bibliographic record
Abstract
On 2 May 2024, a special meeting was arranged with Ernesto ‘Che’ Guevara's daughter, Dr Aleida Guevara at their home in Havana which was followed at the end with a greeting from Che's wife Aleida March. The authors (migrant-settler in Canada originally from India and Cuban friend/colleague who had arranged for the visit – both Human Geographers) along with three Brazilian friends (Doctor, Dentist, and Sociologist) were invited. For more than 3 hours, an intense dialogue ensued. We recount three intellectual lessons that emerged during our discussion. Each of the topics addressed by Aleida reflected her stance as an anti-capitalist, anti-imperialist, anti-colonialist, anti-neocolonialist, and internationalist revolutionary. The discussions included the essential concepts in Che's Marxism, which were integral during the construction process of the Cuban Revolution. Three main themes that emerged included: Cuban Revolution and the socialism of care; challenges facing Cuban socialism today; and the continuing importance of international solidarity. The discussions were interspersed with personal stories, recounts of her father, and humorous anecdotes. Dr Aleida Guevara's tricontinental solidarity work that she shared with us and lessons learned across different historical and geographical contexts in the spirit of her father's intellectual insights towards struggles for freedom provide a theoretical foundation for us to consider today.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.014 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".