Bibliographic record
Abstract
As an adult educator, I often incorporate creative expression into my teaching practice through engaged pedagogy and student assignments. My major influences came not from education but from the art world and natural surroundings. In the 1990’s, I discovered New Brunswick-based photographer Freeman Patterson. His style and philosophy of photography not only influenced my own photography but also found its way into my academic practice. In 2001, I visited Ghost Ranch Education and Retreat Center in Abiquiu, New Mexico and knew I had found a spiritual home among the red rocks and wide-open spaces. I identified with Georgia O’Keeffe who lived there for many decades. I taught creativity and photography there but also started bringing more creativity into teaching graduate students in adult education. This article chronicles my transformative journey as an artist and educator, using original photography and personal narrative. I offer practical strategies for teaching and learning
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.036 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".