Bibliographic record
Abstract
The annual Community College Futures Assembly is an edutaining experience. This special issue highlights the lessons learned from the institutions that were competitively selected to present at the 2001 Assembly. The theme of the 2001 Assembly was the merger of education, entertainment, and information as driven by digital technologies. Educating attendees was the major purpose of the keynote address and the presentations of the Bellwether Award finalists. Entertainment was available throughout the Assembly through stimulating presentations, enthusiastic camaraderie, and great meals. Information was conveyed to all attendees to spread throughout their home institutions and communities. This introduction focuses on the experience of attending the 2001 Community College Futures Assembly. Over 250 community college trustees, presidents, vice presidents, deans, faculty members, and other decision makers representing 31 states and Canada attended the Assembly, which was held in Orlando, Florida. The Assembly is sponsored annually by the Institute of Higher Education (IHE) of the University of Florida (UF) and cosponsored by numerous organizations identified in this article. The Assembly has provided quality learning experiences since 1995, and it is proud to be an independent national policy forum recognized by the Association of Community College Trustees for its Trustee Education Recognition Program.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.533 | 0.443 |
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; the direct Gemma label and the distilled Codex classifier 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".