CONTRAPORTADA/ VIII FESTIVAL DE POSEÍA. LAS LENGUAS DE AMÉRICA CARLOS MONTEMAYOR
Bibliographic record
Abstract
LA UNIVERSIDAD NACIONAL AUTONOMA DE MEXICO (UNAM) INVITA AL VIII FESTIVAL DE POESIA, CON EL TEMA “LAS LENGUAS DE AMERICA CARLOS MONTEMAYOR”, INVITADO ESPECIAL: MIGUEL LEON-PORTILLA. LA CITA ES EL 11 DE OCTUBRE DE 2018, A LAS 18:00 HRS., EN LA SALA NEZAHUALCOYOTL, DEL CENTRO CULTURAL UNIVERSITARIO (CCU) DE CIUDAD UNIVERSITARIA. LA ENTRADA ES LIBRE, CUPO LIMITADO. CLAUSURA DE LAS JORNADAS CARLOS MONTEMAYOR. 70 ANOS IN MEMORIAM. ENTRE LOS PARTICIPANTES SE ENCUENTRAN: DAVID HUERTA (MEXICO, ESPANOL), HUMBERTO AK’ABAL (GUATEMALA, MAYA QUICHE), NATALIO HERNANDEZ (MEXICO, NAHUATL), ELICURA CHIHUAILAF (CHILE, MAPUCHE), MARGARET RANDALL (EUA, INGLES), BRICEIDA CUEVAS COB (MEXICO, MAYA), J. INACIO VIEIRA DE MELO (BRASIL, PORTUGUES), VICTOR TERAN (MEXICO, ZAPOTECO), LOUISE DUPRE (CANADA, FRANCES), FREDY CHICANGANA (COLOMBIA, QUECHUA), JUANA PENATE MONTEJO (MEXICO, CH’OL), ZARA MONROY (MEXICO, SERI). #FIESTADELAPALABRA / #LENGUASDEAMERICA. PAGINA WEB: WWW.NACIONMULTICULTURAL.UNAM.MX/LENGUASDEAMERICA.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 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".