Visually Linked Keywords to Support Exploratory Browsing
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
Academic digital library searchers often employ exploratory search strategies when faced with the complex search task of finding academic literature on a topic that is new to them. Unfortunately, the interfaces employed by academic digital libraries provide little support for exploratory browsing, which is a critical first step in exploratory search. To address this shortcoming, we have designed and implemented a novel academic digital library interface (KLink Search) with two new features: visually linked keywords and an interactive workspace. Here, we present preliminary analysis of data collected in a controlled laboratory study (n=32) comparing KLink Search to a baseline interface. Participants reported higher degrees of usefulness, ease-of-use, satisfaction, and knowledge gain after using KLink Search. Participants spent more time on the search tasks, and were able to collect sets of documents that were highly relevant to the tasks. Results from this research illustrate the value of adding lightweight visual and interactive features to academic digital library search interfaces to support exploratory browsing.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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