Med läshandikapp på Internet: En studie av webbportaler, online-databaser och nätbibliotek för användare med läshandikapp
Bibliographic record
Abstract
TPB, The Swedish Library of Talking Books and Braille, has requested a study to investigate the organization and content of a possible future Swedish web portal for users with reading disabilities. The aim of this thesis is to conduct such a study, with an emphasis on knowledge organization. The main aspects studied are formal description, representation, search and retrieval, document retrieval, and additionally also aspects related to content. The following questions are answered in this thesis: - How are web portals, online databases and Internet libraries for users with reading disabilities constructed, from an organization of knowledge point of view? - How can these solutions for knowledge organization be incorporated into a possible Swedish web portal? - With regards to content, which additional aspects are present in the studied web portals, online databases and Internet libraries? The questions are addressed through a detailed study of ten web portals, online databases and Internet libraries from Nordic and Anglo-American parts of the world. The conclusion contains useful suggestions for the organization of a future Swedish web portal. Such a portal would benefit users with reading disabilities by improving their independent search capabilities and making document retrieval easier and more accessible. It would be useful for both educational and recreational purposes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".