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
Purpose HotMap web search was designed to support exploratory search tasks by adding lightweight visual and interactive features to the commonly used list‐based representation of web search results. Although laboratory user studies are the most common method for empirically validating the utility of information visualization and information retrieval systems such as this, it is difficult to determine if such studies accurately reflect the tasks of real users. This paper aims to address these issues. Design/methodology/approach A longitudinal user evaluation was conducted in two phases over a ten‐week period to determine how this novel web search interface was being used and accepted in real‐world settings. Findings Although the interactive features were not used as extensively as expected, there is evidence that the participants did find them useful. Participants were able to refine their queries easily, although most did so manually. Those that used the interactive exploration features were able to effectively discover potentially relevant documents buried deep in the search results list. Subjective reactions regarding the usefulness and ease‐of‐use of the system were positive, and more than half of the participants continued to use the system even after the study ended. Originality/value As a result of conducting this longitudinal study, the author has gained a deeper understanding of how a particular visual and interactive web search interface is being used in the real world, as well as issues associated with resistance to change. These findings may provide guidance for the design, development, and study of next generation interfaces for online information retrieval.
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 | 0.001 | 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 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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