Distinguishing Three Accounts of Situation Awareness based on their Domains of Origin
Bibliographic record
Abstract
Review of the literature reveals that different treatments and applications of situation awareness (SA) theories and measures often include reference to, or verification from, specific domains. This leads to the postulate that the application domain from which a conceptualization of SA arises plays a fundamental role in that conceptualization. To test this postulate, we compare SA accounts originating from three different domains -aviation, military command and control, and process control. The comparison of the three SA accounts illustrates that the domain of origin can have significant influence on the fundamental characterization of SA. In particular, the choices for the research paradigm in psychology, cognitive components (e.g., metacognition), orientation of time, and scaling of time can be partly traced back to properties or operator challenges specific to the domains of origin. Our comparison demonstrates that domain properties must be carefully examined for conceptualization and application of the SA notion.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.002 | 0.020 |
| Scholarly communication | 0.010 | 0.017 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| 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".