Bibliographic record
Abstract
I spent 14 days of intensive photographic research taking 10 000 photographs while travelling around the coast of Scotland. This includes the incredible architecture in ancient cities; amazing, magical landscapes of heather shrouded moorlands, expansive glens with grass covered hills and lowlands, and black and red mountains; and magnificent castles. Scotland is a part of my cultural heritage. This series of photographs is a merging of my artistic and academic skills as a visual arts researcher. It is similar to grounded theory (Glaser & Strauss, 1967) used for my academic research wherein I let Scotland tell me what photographs needed to be taken and my photographic eye knew when to take the photograph from my years of experience as a photographer.
 Each of the photographs tells a visual story. As I continuously edited my photographs for months while making files in folders I asked myself: What was my experience of Scotland? How can I represent this experience so that it has the feeling of what each inspiring photograph had when I took the shot? It is a reliving and recreating of experience while working with specialty silver papers and creating triptychs, diptychs and other layouts to photographically tell the stories. These 19-limited edition colour archival quality giclée photographic prints are the result of my photographic Scotland experience. An exhibition is a publication and the exhibition of these photographs is supported by LURF.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".