Bibliographic record
Abstract
The following conferences may be of interest to the readers of the Quarterly Review of Distance Education.FETC 2013 January 28-31, 2013, Orlando, FL“With more than 200 concurrent sessions and 100+ workshops, FETC 2013 is the most comprehensive event of its kind—and an invaluable resource for educational innovation in your school and district! Attend FETC 2013 and take away dozens of student-motivating teaching and learning ideas you can implement immediately—many at little, or no cost!”http://fetc.org/Events/Florida-Educational-Technology-Conference/Home.aspxASTD TechKnowledge January 30-February 1, 2013, San Jose, CA“ASTD will welcome more than 1,200 people who focus their daily attention on the design and delivery, management and strategy of technology and learning. Attendees will come together alongside 70 exhibitors in the learning technology space to learn, network, and move people forward through the application of learning and technology.”http://www.astd.org/Events/TechKnowledgeCUE Annual Conference: “CUE to the Core” March 14-16, 2013, Palm Springs, CA“The CUE Conference is the largest and oldest education technology conference in California, and among the largest in the United States. For 30 years, it has been the best value. Who Should Attend? Educators, technology coordinators, administrators and those who are looking to see how technology can support student achievement.”http://www.cue.org/CUE-annual-conferenceEdMedia: World Conference on Educational Media and Technology June 24-28, 2013, Victoria, BC, Canada“This annual conference serves as a multi-disciplinary forum for the discussion and exchange of information on the research, development, and applications on all topics related to multimedia, hypermedia and telecommunications/distance education.”http://www.aace.org/conf/edmedia/Sloan-C Blended Learning Conference and Workshop July 8-9, 2013, Milwaukee, WI“This year's conference theme, ‘Perfecting the Blend,’ reflects our current efforts to further explore the blending of the student experience through practice and research while harnessing the potential of new and emerging technologies, pedagogies, and practices in a greater array of educational institutions facilitating an overall improvement in the state of education.”http://sloanconsortium.org/conference/2012/blended/welcome
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".