Poliesferas Pedagógicas: estudio analítico de las cosmologías locales del Covid-19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Debido a la nueva realidad pandémica, nuestras aulas se han visto modificadas, pasando de un formato presencial al virtual. El fenómeno de compartir pantalla se ha convertido en el soporte de comunicación y expresión de vidas distintas que compartimos un mismo espacio virtual, separándonos físicamente tan sólo unos centímetros. Esta investigación observa la realidad experimentada y analiza la experiencia virtual de la la realidad espacial de nuestros nuevos entornos educativos. Para ello, se propone una metodología específica de análisis gráfico que permite examinar los espacios domésticos convertidos en docentes, ampliando el conocimiento sobre nuestras nuevas aulas físico-virtuales. El resultado es un atlas de poliesferas que recoge todos los objetos que nos acompañan virtualmente en nuestras pantallas, con el que se visibiliza la inversión de las estructuras clásicas de nuestras aulas, siendo ahora el mueble el centro de nuestra atención. Due to the new pandemic reality, our classrooms have been modified, evolving from on-site to online format. The screen sharing phenomenon is now the communication and expression medium of different lives which share the same virtual space, physically separated only by few centimeters. This research focuses on the experienced reality and analyzes the virtual experience of the spatial reality of our new educational environments. We propose an specific graphic analysis methodology which allows to examine the domestic spaces turned into academic spaces, expanding the knowledge about our new physical-virtual classrooms. The result is a polyspheres atlas that collects every object that we share virtually on our screens. This atlas visualizes the inversion of the classical structures of our classrooms, because the furniture or device is now the focus of our attention.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it