FACADE - a framework for context-aware content adaptation and delivery
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
Modern technology promises. mobile users Internet connectivity anytime, anywhere, using any device. However, given the constrained capabilities of mobile devices, the limited bandwidth of wireless networks and the varying personal sphere, effective information access requires the development of new computational patterns. The variety of mobile devices available today makes device-specific authoring of Web content an expensive approach. The problem is further compounded by the heterogeneous nature of the supporting networks and user behaviour. The notions of "typical user" and "typical user behaviour" are no longer applicable for many Internet applications. This research investigates the challenges posed by these problems, and proposes FACADE (FrAmework for Context-aware content Adaptation and DElivery) to bridge the gap between the existing Internet content and today's heterogeneous computing environments. A pilot implementation of a facility for testing and performance evaluation of FACADE is also discussed.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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