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Record W4401099312 · doi:10.22437/jssm.v5i2.33979

UPAYA PENINGKATAN PENGETAHUAN KADER TIM PENDAMPING KELUARGA (TPK) DALAM PERCEPATAN PENURUNAN STUNTING DI KECAMATAN PASAR KOTA JAMBI

2024· article· en· W4401099312 on OpenAlexaff
Neris Derniati, Fitriani Fitriani, Sri Astuti Siregar, Marta Butar Butar, Abdul Gani

Bibliographic record

VenueJurnal Salam Sehat Masyarakat (JSSM) · 2024
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

Stunting is the result of the interaction of various factors, namely insufficient food intake and increased nutritional needs. The purpose of this service activity is to improve the performance of the Family Assistance Team (TPK) cadres as the spearhead in efforts to accelerate stunting reduction in Telanaipura sub-district, Jambi City. This activity uses a qualitative approach related to optimizing the performance of the Family Assistance Team (TPK) cadres with counseling in an effort to accelerate stunting reduction. Overall, this intervention can accelerate the reduction of stunting in Pasar Sub-district, Jambi City. Improving the performance of the Family Support Team (TPK) administrators who foster families is expected to have a positive impact on efforts to reduce stunting in the Pasar District of Jambi City. This success can serve as an example for similar efforts in other areas experiencing stunting. The success of this activity shows the importance of careful planning, providing relevant and interactive materials, and effective follow-up. The experience of this activity will serve as a reference for future awareness activities, and is expected to make a major contribution to broader efforts to reduce stunting.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.323
Teacher spread0.298 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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