Estefanía Brocci: “un antes y un después en las aulas de nuestro país y del mundo”
Bibliographic record
Abstract
Estefanía Broggi es una docente entrerriana, de la ciudad de Gualeguaychú. Cursó el profesorado en su ciudad natal en el Instituto de enseñanza media y superior "Olegario Víctor Andrade”, se recibió en 2011 de profesora para EGB1 y 2. Y se ha capacitado principalmente en Alfabetización Inicial, Educación Sexual Integral y en Inclusión. Sus experiencias en escuelas públicas y privadas le permitieron vivenciar diversas realidades educativas y comprobar la influencia del entorno social en las trayectorias de cada niño y niña. Hoy en un marco de pandemia, donde la normalidad que conocíamos se desvanece, analiza la situación que se vive en el interior del país "Somos los docentes los que sostenemos el derecho a la educación” nos dice mientras comparte un poco de su mundo laboral profesional en este nuevo contexto educativo. Desde una mirada entrerriana enriquece el análisis de una de las áreas más afectadas de nuestro país, la educación “necesitaremos invertir muchos años para recuperar el tiempo perdido" nos dice.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".