University Extension and Public Service in the Age of Economic Globalization: A Response to Thompson and Lamble
Bibliographic record
Abstract
The Journal invited Allan Lauzon to comment on the preceding article by Gordon Thompson and Wayne Lamble. In his response Lauzon examines the larger shifts in Canadian society, making the case that this represents a fundamental shift in dominant values; examines how this value shift is impacting upon the university; examines the implications of value changes in the university for university extension units; and examines and comments on some of the ideas put forth by Thompson and Lamble. The Journal will provide an opportunity for Thompson and Lamble to respond to Lauzon's comments in the next issue of theJournal (fall 2000).
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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 | 0.018 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.021 | 0.020 |
| Scholarly communication | 0.013 | 0.017 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.069 | 0.074 |
| 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".