Towards a systematic approach for the credibility of humancentric web 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
The apparent socialization of the Web brings new prospects as well as challenges. In this paper, the issue of credibility of Web Applications in the light of increased human participation and collaboration is considered. The stakeholder types to which credibility of Web Applications is relevant are identified. Based on a taxonomy of credibility, the origins of the issue of credibility specific to human-centric Web Applications are explored and examples in support are presented. The role of addressing credibility within the auspices of flexible and iterative development processes is emphasized. A framework for understanding and addressing the credibility of human-centric Web Applications in a methodical manner is proposed. This framework includes quality attributes of concern to stakeholders and process- and product-oriented means for addressing them in a feasible manner. Finally, extensions of the framework, including implications towards the Semantic Web, are briefly outlined.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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