What does the decline in the international ranking of the United States in educational attainment mean for community colleges?
Bibliographic record
Abstract
This article was written in response to concerns that have been expressed about the possible consequences of an increasing number of countries overtaking the United States in educational attainment. International statistics on educational attainment were analyzed, questions about comparability of data were discussed, and the impact of different approaches to the organization of higher education on attainment rates was examined. The author concluded that comparing the rate of attainment of subbaccalaureate credentials between the United States and other countries is problematic both because of definitional issues, and as a consequence of the major transfer function of American community colleges. The article explains how colleges that previously offered short term vocational training in many European countries have evolved into vocationally-oriented baccalaureate granting institutions that have enabled their nations to achieve rapidly rising levels of baccalaureate degree attainment. It suggests that the experience of these countries may provide useful lessons—and cautions—for policy makers and educational leaders with respect to expanding the role of community colleges in awarding baccalaureate degrees.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".