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Record W3209523448 · doi:10.33102/jfatwa.vol26no2.399

Maqasid Approach In Measuring Quality Of Life (QoL)

2021· article· en· W3209523448 on OpenAlexfundno aff
Husna Ahmad Khalid, Siti Khadijah Ab. Manan, Rafeah Saidon, Amiratul Munirah Yahaya, Mohd Hafiz Abdul Wahab

Bibliographic record

VenueJournal of Fatwa Management and Research · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
FundersInternational Institute of Islamic ThoughtUniversiti Teknologi MARAFederation of Canadian MunicipalitiesUniversity of Saskatchewan
KeywordsQuality of life (healthcare)HappinessDimension (graph theory)Perspective (graphical)DeskPsychologyQuality (philosophy)Applied psychologySocial psychologyGerontologyEpistemologyMedicineComputer sciencePsychotherapistMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

Studies and discussion in measuring the quality of life (QoL) has been at the centre stage ever since people realize its importance for the wellness of mankind. It is even more important when the concept is associated with sustainable development goal (SDG). Some studies relate QoL with physical health, psychological health, social relationship and environment. Others associate it with authentic happiness that refers to the criteria of pleasant life, a good life, a meaningful life and balanced life. Nevertheless, what can be considered as a holistic QoL? Can it be confined to the material and physical wellness of the people? Could there be any different perspective in looking at the concept in a holistic view? This study would attempt to answer the above questions by deliberating the dimensions of QoL enshrined by the maqasid al-shariah (the objectives of shariah). External Desk Study is employed in getting the required information and data relating to the definition and measurement of QoL. Relevant literatures in the area are reviewed and analysed in coming up with the new dimensions of holistic QoL. In analyzing the data, deductive approach is used to come up with the list of indicators for every dimension of maqasid-based QoL. Finding of this study is expected to shed light in looking into a much broader dimension of QoL.

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)0.004
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 score0.371
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.151
GPT teacher head0.342
Teacher spread0.192 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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