Building highly-interactive, data-intensive, REST applications
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
With the explosion of Web 2.0 ideas and technologies such as XML, REST, and RIAs (Rich Internet Applications), developers are now creating "mashup" applications that aggregate numerous sources of information and promote rich user interaction. Although many innovative mashups are being created, there has been little research systematically examining which technologies to use and how to design and implement such applications. We describe the features and complexity inherent within a data-intensive, REST-based, RIA entitled, Invenio. Invenio combines a variety of different technologies (Yahoo! Maps, Amazon Associates Web Service, REST, and the Flex framework) to geographically visualize aggregated music chart information. We report on our experiences in designing and authoring Invenio, use Invenio's requirements as a case study to examine relevant technologies and recommend a set of possible "best practices" for developing other RIAs.
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 | 0.001 |
| Open science | 0.002 | 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