Geography Education: Fieldwork and Contemporary Pedagogy
Bibliographic record
Abstract
Geographers have taken a leading role in post‐secondary pedagogic innovation, and this is reflected in a rapidly evolving landscape of teaching and learning within the discipline. Lectures used to involve the transmission of information from the lecturer to the student but are now much more interactive, with multimedia, student discussions, interactive exercises, and formative assessment based on “clickers.” Practical and laboratory work is now much more relevant than formerly, with the use of real datasets and less emphasis on repetitive calculations. Fieldwork is still important and safety issues are taken seriously, but equity, risk, and legal liabilities have discouraged some departments and instructors. In contrast, signature pedagogies, including experiential and service learning, along with undergraduate research and inquiry, have seen growth. Textbooks are moving into electronic formats that allow them to be more closely integrated into active learning.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".