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Record W7165982894

This is the analysis based on provided services to the elderly Malta relief organisations during the global pandemic period.

2021· dissertation· lt· W7165982894 on OpenAlexaboutno aff
Graznovienė, Rasa,

Bibliographic record

VenueInstitutional Repository of Utenos kolegija Higher Education Institution · 2021
Typedissertation
Languagelt
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicQuarter (Canadian coin)Order (exchange)Work (physics)QuarantinePopulationCoronavirus disease 2019 (COVID-19)
DOInot available

Abstract

fetched live from OpenAlex

Population aging is becoming an increasingly serious problem in most parts of the world. Quarantine measures during the pandemic have had a negative impact on the lives of single elderly people, as they have reduced access to doctors, restricted contact with relatives or others, reduced access to normal food, and worsened their general well-being and mood. The subject of the work is the problems that have arisen during the pandemic in the provision of services to the elderly in the Order of Malta Relief Organization. The aim of the study was to investigate the problems that arise during a pandemic in the provision of services to the elderly in the Order of Malta Relief Organization. To achieve this goal, two tasks have been set. First, to review the impact of the COVID-19 pandemic on the elderly and the services provided by the Order of Malta Relief Organization and secondly to examine the problems that arise during the pandemic in the provision of services to the elderly by the Order of Malta Relief Organization. Working methods: analysis of scientific literature, questionnaire survey, data collection and analysis Conclusions. The results of the survey revealed that almost all respondents feel deteriorating health, almost a quarter of them feel lonely and forgotten, feel fear and anxiety, and a third part have already sought help from a specialist. One-fifth of respondents started using the services of the Order of Malta Relief Organization during the pandemic, reflecting the growing need for these services under quarantine restrictions. Most respondents have been using the services of the Order of Malta Relief Organization for 3-4 years, and these services are even more needed during a pandemic. During the COVID-19 pandemic, the help of the Order of Malta Relief Organization is needed because respondents have serious health problems and are unable to take care of themselves. Secondly, because their relatives live far away or in another municipality, and because of the quarantine restriction they cannot visit them. The majority of respondents are pleased that volunteers from the Order of Malta Relief Organization visit their homes, but during the pandemic Young Maltesers visit less frequently, and there is a lack of communication with volunteers as their visits have been shortened. Structure of the work: the work consists of two parts. The first part analyses the theoretical analysis of the services provided to the elderly by the Order of Malta Relief Organization. The second part analyses the information obtained during the questionnaire survey. The conclusions summarize the results of the work and provide recommendations.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0080.009
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0200.003

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 head0.013
GPT teacher head0.299
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), 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
Published2021
Admission routes1
Has abstractyes

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