"Hay afectos de tan delicada honestidad...": los laberintos del deseo homosocial en la relación José Martí - Manuel Mercado
Bibliographic record
Abstract
El presente articulo realiza una lectura de la relation amistosa de Jose Marti con el mexicano Manuel Mercado como punto de articulation del deseo homosocial masculino segun lo entiende Eve Sedgwick Kosofsky en su ya celebre Between Men (1985). Partiendo de la ultima carta de Marti que queda inconclusa y esta dirigida a Mercado y las dificultades que rodearon la publication de su correspondencia con Mercado, se pone de relieve la importancia del secreto en la relation entre ambos, asi como las sinuosidades de la intimidad. En este sentido, resulta clave para nuestra lectura la afirmacion de Michel Foucault de que el problema que presenta la homosexualidad debe buscarse en las lineas defuga a que inevitablemente conduce la intensification de los lazos masculinos. Lo que se busca, por tanto, no es atribuirle una etiqueta facil a la relation entre Marti y Mercado, sino mas bien poner de manifiesto su potential homoerotico, sobre todo, por el hecho altamente significativo de que parece fundarse sobre la exclusion de la mujer. La mujer la esposa de Mercado y la prometida de Marti seria, en todo caso, la conductora del deseo homosocial, el biombo que lo oculta y lo revela. Hasta que punto ese deseo pudo ser o no sexual (conscientemente o no) no es algo que importa dilucidar aqui. Por el contrario, un cierto nivel de (in)decidibilidad es esencial para el analisis que se propone en este articulo.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".