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Record W4388826176 · doi:10.5539/ass.v19n6p99

Tumpangsari-Agroforestry Practices and Its Socioeconomic Impact on Communities in the Gunung Arjuna-Lalijiwo Forest Reserve, East Java, Indonesia

2023· article· en· W4388826176 on OpenAlex
J Azrihisyam, Pakhriazad Hz, Mohd Hasmadi Ismail, Mohamad Azani A

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.

venuePublished in a venue whose home country is Canada.
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

VenueAsian Social Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAgricultural and Environmental Management
Canadian institutionsnot available
Fundersnot available
KeywordsSocioeconomic statusSocioeconomicsAgricultureGeographyPovertyNature reserveJavaHectareWork (physics)Agricultural economicsForestryAgroforestryEconomic growthPopulationEconomicsSociologyDemography

Abstract

fetched live from OpenAlex

The issue of poverty remains a significant and persistent challenge in Indonesia, particularly in rural areas. Agroforestry has been practised in the Gunung Arjuna Reserve Forest, which has been managed by Perhutani since the 1970s. However, the absence of effective oversight and guidance has hindered substantial socioeconomic progress. In 2016, the management of 544.74 hectares of this forest was taken over by Universitas Brawijaya (UBF). This study focused on the Karangploso sub-district, specifically within the Tawangargo, Donowarih, and Ngenep villages under UBF's management. The study aimed to assess the impact of the transition from Perhutani's management to UBF's current administration of the Gunung Arjuna Reserve Forest. It did so by (i) analyzing factors influencing the total area of cultivated land in the tumpangsari-agroforestry system and (ii) evaluating the socioeconomic consequences of this management shift. A quantitative approach and convenience sampling technique were employed, selecting respondents based on accessibility and proximity to the researcher on-site. The results indicated that 34% of respondents cultivated crops on land areas ranging from 1.0 to 1.5 hectares. The regression analysis demonstrated a strong relationship (R2 = 0.847) between factors such as work duration, plant diversity, education level, income, and the number of family members engaged in farming and the total cultivated land area. The study also found that the transition from Perhutani to UBF management had a significantly positive impact on socioeconomic aspects, such as total income, social interactions, and infrastructure, as perceived by 67% of respondents. Furthermore, 70% of respondents acknowledged their reliance on the agroforestry system for income, with 88.86% strongly agreeing that it contributed to family income, and 84.57% strongly agreeing that it was a vital source of raw materials for sustenance. The implication of transferring the 544.74-hectare reserve forest to Universitas Brawijaya had a favourable outcome, enhancing the living standards of the communities in the vicinity. The tumpangsari-agroforestry system not only improved socioeconomic conditions but also fostered social interactions, improved infrastructure, and preserved the forest's ecology. It is recommended that the community continue cultivating a variety of crops with guidance from UB Forest management and other stakeholders. Creating national awareness about the benefits of agroforestry in rural poverty reduction is vital, emphasizing the need to explore and adopt diversified livelihood strategies.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.048
GPT teacher head0.329
Teacher spread0.281 · 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