“Grey” areas and “organized chaos” in emergency response
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
Purpose The purpose of this research is to explore the interaction between organizational policies and daily work practices of paramedics and firefighters within two emergency response organizations. Design/methodology/approach Data were collected in a case study consisting of interviews, focus groups, and observations. The theoretical grounding for this research is framed by learning in practice through legitimate peripheral participation. Findings Analysis of the data found that paramedics and firefighters value learning in their daily work above initial qualification training. They learn in practice through increasing collaboration with others, and in the broader context of legitimate peripheral participation. Organizational policies can help in guiding their decision making processes, but learning in practice and relying on experience is most helpful in their daily work. Research limitations/implications The notion of situated learning is insufficient to explain the dramatic performance of emergent, creative, and autonomous actions often required of individual emergency personnel in crisis situations. Originality/value This study adds to the current literature on communities of practice and legitimate peripheral participation. It applies learning theory to emergency response organizations to demonstrate the need to focus on practice and understandings in workplaces. The research also offers a greater understanding of the unique job of emergency response personnel who must often make instantaneous decisions in critical situations and must therefore understand their practice to ensure positive outcomes.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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