Internet Audio Products (3/ 3)
Bibliographic record
Abstract
Two contrasting additions to the online audio market are reviewed: iVocalize, a browser-based audio-conferencing software, and Skype, a PC-to-PC Internet telephone tool.These products are selected for review on the basis of their success in gaining rapid popular attention and usage during 2003-04.The iVocalize review emphasizes the product's role in the development of a series of successful online audio communities -notably several serving visually impaired users.The Skype review stresses the ease with which the product may be used for simultaneous PC-to-PC communication among up to five users.Editor's Note: This paper serves as an introduction to reports about online community building, and reviews of online products for disabled persons, in the next ten reports in this series.JPB, Series Editor.Product Trials iVocalize 1) iVocalize is an audio conferencing software with screen reader capability (tested and reviewed by Linda Matula Schwartz).The ability to generate a sense of community among students is an important aspect of distance education.A wide range of online communities has been established around a particular software product, iVocalize.These groups include:• The Access Technology Institute, which provides software training and discussion forums on technology for persons with visual impairments and their trainers.• Audio Avenue, of the Mid-Illinois Talking Book Center, provides an online community for programming, distance training and outreach to librarians and other professionals serving persons with visual impairments.• Audio-Tips: this online group began as an iVocalize audio chat program for persons with visual impairment.Now open to the general public, sighted people and those with impaired vision mingle in an online community.• Global Learn Day, sponsored by the Benjamin Franklin Institute for Global Education, uses iVocalize in conjunction with a telephone call center to provide an annual 24-hour international forum showcasing innovative educational projects. N.B.Owing to the speed with which Web addresses become outdated, online references are not cited in these summary reports.They are available, together with updates to the current report, at the Athabasca University software evaluation site: cde.athabascau.ca/softeval/.
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.198 | 0.094 |
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".