La piel de Samantha: presencia y espacio: propuesta de innovación docente en Diseño
Bibliographic record
Abstract
La presente comunicación expone el proyecto de innovación docente La piel de Samantha, que fue aplicado en la asignatura de Informática durante el segundo curso del Grado en Diseño (mención interiores) de una universidad catalana en 2018/2019. Dominar las herramientas informáticas en el aula es un objetivo pedagógico prácticamente obsoleto debido a la intuición innata de la Generación Z frente a la tecnología. Consecuentemente, se propuso un cambio de paradigma en la asignatura, abarcando un horizonte extenso y actual. A través de un enunciado proyectual, los estudiantes reflexionaron sobre la relación tecnología-ser humano trabajando en el concepto de atmósfera. Todo ello fue invocado por Samantha, la protagonista del filme Her, un sistema operativo que anhela la condición intrínseca del hombre: estar en el mundo. Se aspiraba a que los estudiantes rebasaran la frontera del dibujo y, a través de sus proyectos, construyeran un futuro inmediato: el vacío de la hiperconexión. This text presents a teaching innovation proposal called The skin of Samantha, which was applied in a subject belonging to the Design Degree of a Catalan University. The subject was called Computing and was taught in the second year of the Interior Design Degree in 2018/2019. The learning of technological tools at the university is an obsolete purpose because of the inherent intuition of the Z Generation students. Consequently, it was proposed a paradigm shift of the subject, consisted of a real horizon. The students reflected on the relation between technology-humanity and worked on atmospheres by means of a projectable briefing. Everything was invoked by Samantha, the main character of a movie titled Her. Being an operating system, she wishes the innate human condition: to experience the world. The aim of the project was to exceed the screen border and to build an immediate future: the emptiness of the hyperconnectivity.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".