Evaluating Intention and Effect
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This post occupancy evaluation (POE) assessed the impact of architectural design on psychosocial well-being among patients and staff in the context of a new complex continuing care and rehabilitation facility. BACKGROUND: Departing from typical POEs, the hospital design intentions formed the theoretical basis to assess outcomes. Intentions included creating an environment of wellness; enhancing connection to the community, the city, and nature; enhancing opportunities for social interaction; and inspiring activity. METHODS: A pretest-posttest quasi experiment, including quantitative surveys, assessed the impact of the building design on well-being outcomes across three facilities-the new hospital, the former hospital, and a comparison facility with a similar population. RESULTS: With the exception of connection to neighborhood (for patients) and opportunities to visit with others (for staff) and wayfinding (for patients and staff), impressions of the new hospital mirrored the design intentions relative to the former hospital and the comparison facility among patients and staff. Perceptions of improvement in mental health, self-efficacy in mobility, satisfaction, and interprofessional interactions were enhanced at the new hospital relative to the former hospital, whereas optimism, depressive symptoms, general well-being, burnout, and intention to quit did not vary. Interestingly, patients and staff with favorable impressions of the building design fared better on most well-being-related outcomes relative to those with less favorable impressions. CONCLUSIONS: Beyond the value of assessing the impact of the design intentions on outcomes, the approach used in this study would benefit evaluation strategies across a diversity of health and other public and large-scale buildings.
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.
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 | 0.024 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it