An exploratory study of the landscape preferences of normally aging seniors
Bibliographic record
Abstract
This thesis investigates the landscape preferences of normally aging seniors between the ages of 65 and 84. Thirty-four subjects hierarchically sorted according to preference 27 photographs of non-spectacular urban landscapes typically found in southwestern Ontario. Participants were asked to explain why they liked the five most liked photographs and disliked the five least liked pictures. The images were organized along two dimensions; naturalness ranging from natural to built and enclosure ranging from open to closed. The direction, rank and strength of photograph preference were determined using frequency counts. The verbal data underwent content and context analyses to identify general preference indicators. The fundamental tenets of preference, naturalness and enclosure, held for seniors. Subjects were more consistent about the type of setting they disliked than liked. Built-open settings received poor preference responses. The descriptions indicated that vegetation, colour, complexity and non-visual preference indicators such as function and affect were influential. Signs of human intervention when they do not dominate nature were appreciated and may provide cues to care.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".