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Record W4415323653 · doi:10.33019/society.v13i2.924

The Impact of Empowerment Leadership, Social Capital, and Sustainability Programs on Long-Term Community Welfare: A Systematic Literature Review Study

2025· article· id· W4415323653 on OpenAlex
Muhammad Kamal, Abdul Wahab Hasyim, Nahu Daud, Rahmat Sabuhari

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueSociety · 2025
Typearticle
Languageid
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsScopusSystematic reviewSustainabilityEmpowermentInclusion (mineral)WelfareWeb of science

Abstract

fetched live from OpenAlex

Capturing the breadth of research on social capital, empowering leadership, sustainable initiatives, and community welfare is the goal of this systematic literature analysis. Five publications that satisfied the inclusion requirements were found after a thorough search of the Scopus and Web of Science (WoS) databases using PRISMA, which was done between January 2010 and November 2024. The compilation of these articles demonstrates that social capital, sustainable programs, and community welfare have been primarily studied in the healthcare industry. Furthermore, research findings were also conducted in African countries, Turkey, Italy, Canada, and various other countries. Furthermore, the research methods employed were predominantly qualitative. Future research directions are also provided, along with theoretical and practical contributions.

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)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0090.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.004
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 head0.077
GPT teacher head0.451
Teacher spread0.374 · 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