MétaCan
Menu
Back to cohort
Record W3010749280 · doi:10.5937/zz1302039p

Socio-economic status and health needs of veterans and military invalids in Belgrade

2013· article· en· W3010749280 on OpenAlexaboutno aff
Branislav Popović, Predrag Jelača, Hristo Anđelski, Zoran Durlević, Predrag Đorđević, Andreja Merenik

Bibliographic record

VenueZdravstvena zastita · 2013
Typearticle
Languageen
FieldHealth Professions
TopicQuality and Safety in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryQuarter (Canadian coin)Administration (probate law)CommissionSocial WelfareWelfareGerontologyPsychologyPolitical scienceMedicinePublic administrationDemographyEconomic growthGeographySociologyLawEconomics

Abstract

fetched live from OpenAlex

Objective: Process the collected data on health and social needs of the Liberation War Veterans and disabled veterans, in the period 2008 - 2011. year, in 17 municipalities of Belgrade, to analyze the obtained data and suggest appropriate measures. Method: The organized collection, processing and interpretation of data provided for projects by members of the Office of Veterans protect the City Board of SUBNOR and Commission for the Protection of War Veterans of the Republic Board of SUBNOR, and financially supported by the Ministry of Labour and Social Affairs and the Office for selection of projects of non-governmental social organizations in the City Administration - Secretariat for Social Welfare of the City of Belgrade. Results: 4523 NOR participants were surveyed, including 399 disabled veterans, of which 3316 men and 1207 women. The largest number of respondents (70.0%) belongs to the oldest age group - 85 and over. Of 3559 respondents, over two thirds (41.5%) own health was assessed as satisfactory, slightly more (44.1%) as bad and 14.5% as very poor. From the responses received, it was concluded that they have an average two to three diseases. Of particular importance is information about 226 fixed, and 1284 (42.9%) limited mobile soldiers. When asked about moving out of 3466positive responses, 2139 (61.8%) without restriction, while the 1327 (38.2%) limited mobility. Limited facilities for personal hygiene were found in one third of respondents. According to the data from the 3718, one-quarter of respondents (24.9%) lived alone, 37.3% in households with two members and 37.9% in households with three or more members. The financial situation of the surveyed soldiers, according to their statements, it was assessed as good in 47.4% of cases, tolerable (41.3) and as poor in 425 (11.3%). One in four respondents said the need for home help services, and 16.6% of respondents want that placement in the home. Conclusion: To initiate and implement permanent measures and activities appropriate to the found facts and the current needs of veterans, with the aim of removing obstacles and improving the care of the surviving veterans and their families.

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 score0.073
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.111
GPT teacher head0.428
Teacher spread0.318 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueZdravstvena zastitaSame topicQuality and Safety in HealthcareFrench-language works237,207