Situational Analysis: A Visual Analytic Approach that Unpacks the Complexity of Occupation
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
Concurrent with the development of a transactional perspective, the notion of “the situation” has increasingly been taken up in occupational science scholarship. Accordingly, research methodologies and approaches that capture the multifaceted elements of situations need to be explored. Situational analysis, pioneered by sociologist and grounded theorist Adele Clarke, shows promise for facilitating inquiries into situations of occupational engagement. In this article we review the situational analysis approach and provide an example of its application to research on the situation of long-term unemployment. In this application, situational mapping illuminated the contradiction of simultaneously being “activated” and “stuck”. Situational analysis helped unpack how this contradiction was shaped within North American contexts. Based on this example and others outside the occupational science literature, we discuss how situational analysis can be a useful tool for fostering critical, socially-responsive, and community-engaged occupational science research.
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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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it