A Conversation with Sharan Merriam: Globalization and Adult Education
Bibliographic record
Abstract
On September 22, 2011, Sharan Merriam visited Brock University to give a Distinguished Speaker Lecture entitled "Globalization: Challenges and Opportunities for Adult Education." Based on her research about the future of adult education within a global context, Merriam’s lecture sets the tone for this special issue on the impact of globalization for adult education and higher education. Merriam (2010) unpacked the phenomenon of globalization, connected it to the knowledge economy, and situated it within a contemporary, political, social, cultural, and educational context. Merriam (2010) highlighted the need for consideration of the trends and trajectories in adult education related to globalization as "adult education does not occur in a vacuum" (p. 408). She emphasized the need to consider research on lifelong learning that has been impacted by global education. Merriam’s work further highlighted the need for the sharing of knowledge among international educators in a global context.
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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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.013 | 0.029 |
| Insufficient payload (model declined to judge) | 0.006 | 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".