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Record W7017381295

Aplicación iOS de hepatología en un contexto de Flipped Classroom

2018· dissertation· es· W7017381295 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · 2018
Typedissertation
Languagees
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Flipped classroomWork (physics)Subject (documents)Attendance
DOInot available

Abstract

fetched live from OpenAlex

Actualmente, las aplicaciones móviles forman parte de nuestro día a día. Por ello, este trabajo de fin de grado se centra en el desarrollo de una aplicación móvil para la ayuda en el aprendizaje del carcinoma hepatocelular a un nivel universitario. En un principio, nos centraremos en el análisis de las distintas opciones disponibles para el desarrollo de aplicaciones móviles, tanto a nivel de las distintas tecnologías móviles (aplicaciones web, híbridas o nativas), así como a nivel de los distintos tipos de Sistemas Operativos más dominantes en el mercado (Android, Windows Phone y iOS).
\nTras el análisis desarrollado, se ha optado por realizar una aplicación nativa para el Sistema Operativo iOS con la finalidad de ayudar a los alumnos de la Universidad de Calgary en el estudio del carcinoma hepatocelular. Esta aplicación está basada en un contexto de Flipped Classroom, el cual permite el acceso a una gran cantidad de información y realizar un aprendizaje más dinámico.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0000.001
Open science0.0050.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.019
GPT teacher head0.308
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it