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Record W1969669675 · doi:10.5430/jha.v3n2p1

Does employment in high risk professions relating to firefighters and emergency workers cause injuries that requires long hospitalization?

2013· article· en· W1969669675 on OpenAlexvenueno aff
Hrvoje Lalić, Iva Kruljac

Bibliographic record

VenueJournal of Hospital Administration · 2013
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSick leaveEmergency medicineMedical emergencySignificant differencePhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Firefighters and emergency workers are exposed to increased injury risks. The objective of the paper was to find out if such activities cause injuries that require long hospitalization. The files of 137 firefighters in Littoral Mountainous County, Croatia, were examined as well as those of 120 emergency workers in the last decade. The results have shown that on average firefighters were treated in hospitals 1.33 days, and emergency workers 0.018 days, p = .019, p < .05. The firefighters’ sick leave was longer, with a mean 63.91 days compared to emergency workers sick leave mean 22.90 days, but if two firefighters on long sick leave were excluded, the difference between two groups was not significant, p = .256, p > .05. While these injuries result in short hospitalizations time the sick leave time takes longer and requires extensive outpatient physical therapy that burden hospital system. Overall, the amount of medical care time to return these injured workers to duty is large, there is necessity of implementing innovative injury prevention programs.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.385
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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