Information architecture of business-to-consumer e-commerce websites. Part I: The online catalogue of selected video retailers
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
Recent surveys of business-to-consumer (B2C) e-commerce websites indicate that these sites lack well-designed online catalogues necessary to enable consumers to locate easily what they want to find. This paper examines how online vendors organize their catalogues and how this organization could affect the consumers’ ability to find the information necessary to make an informed purchase. The contents of the catalogues of 50 B2C video websites were evaluated against fifteen criteria derived from the Anglo-American Cataloguing Rules. Results indicate that, on average, the catalogues meet only 8.8 of the fifteen criteria and thus fail to provide consumers with sufficient information needed to make a fully informed and rational purchasing decision. The only elements of information the consumer can be assured of finding are the title and purchase price of the videos.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.016 |
| 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