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Earthquakes and Rehabilitation Needs: Experiences From Bam, Iran

2007· article· en· W167502197 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Spinal Cord Medicine · 2007
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsnot available
FundersReseau canadien de recherche respiratoire
KeywordsRehabilitationMedicinePsychosocialPopulationSpinal cord injuryFocus groupNursingFamily medicineMedical emergencyPhysical therapyPsychiatrySpinal cordEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: In December 2003, a devastating earthquake destroyed Bam and surrounding areas in Iran, leaving many people with residual deficits and disabilities, of which approximately 240 patients had spinal cord injury (SCI). METHODS: As an independent volunteer working in outpatient clinics, I visited the patients as part of a mobile team and set up a short educational course in spinal cord medicine. RESULTS: I visited 34 patients with SCI in the first 3 months. Eight months after the disaster, I visited 54 patients with SCI, 29 female (53.7%) and 25 male (46.3%). Postdisaster problems were identified, including need for accurate data collection, identification of patients' conditions, attention paid to psychosocial issues, ethical dilemmas, and research needs. CONCLUSION: Disaster preparedness for earthquakes should include first aid and injury prevention, coordination of relief efforts, basic education and medical care, and short-and long-term rehabilitation needs. The major focus of rehabilitation medicine specialists' should be education of the general and professional population toward integrating the concept of rehabilitation.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.078
GPT teacher head0.451
Teacher spread0.373 · 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