Bibliographic record
Abstract
and foreign markets, and both learners and governments seek educational opportunity from global suppliers, cultural hegemony could very well present problems.Next, we move to report of a study conducted at the University of California, Irvine.In Persistence in University Continuing Education Online Classes, Jia Frydenberg examines student persistence and attrition in online versus 'onground' classes.Clearly, attrition is a problem.What is interesting is that Frydenberg's study found that despite fairly consistent reports in the literature indicating higher drop outs for distance education students, this was not the case at the University of California, Irvine once the course has begun.Attrition in open and distance education is a critical factor, but studies such as Frydenberg show that attrition is multifaceted and often clouded by a host of confounding variables.The next paper in this issue, Going the Distance: Towards a new professionalism for fulltime distance education faculty at the University of the Philippines, by Patricia Arinto addresses issues of training and professional development in distance education.Arinto's paper is interesting because she explores the literature grounded within the context of her own experiences teaching in a distance education faculty of a respected Filipino university.Increasing access to educational opportunity is the driving motivation of much distance education programming.Access to Communication for the Deaf, Hard of Hearing, and ESL Students in Blended Courses, by Gary Long, Karen Vignare, Raychel Rappold, James Mallory, reports on how the online components of blended courses afford positive outcomes for deaf and hard of hearing ESL students.Our next two papers examine open educational resources and open source software.The first paper by Mimi Miyoung Lee, Meng-Fen Grace Lin, and Curtis Bonk OOPS, Turning MIT Opencourseware into Chinese: An analysis of a community of practice of global translators, explores the dynamics of the open source community -specifically how volunteers negotiate 'obstacles' to bring the benefits of open courseware to the new audiences.The next paper is entitled, The Emergence of Open-Source Software in North America by Guohua Pan and Curtis Bonk.This paper, is a companion piece published earlier this year in Insung Jung's Regional Focus Issue (IRRODL Vol .8No. 1, 2007) on Changing Faces of Open and Distance Education in Asia.Pedagogy is the basis of quality education, regardless of delivery method or technology used.In Identifying Effective Pedagogical Approaches for Online Workplace Training: A case study of the South African wood products manufacturing sector, Iain Macdonald, Mark Bullen and Robert Kozak report on an investigation of pedagogical techniques for workplace e-learning programs in the South African wood products manufacturing sector.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.314 | 0.192 |
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".