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Record W7128475468 · doi:10.64903/1480-6800.23.2.199

Choice of Livelihood Strategies of Coastal Fishermen in Pulau Pangkor, Malaysia

2020· article· W7128475468 on OpenAlexvenueno aff
Ho Siew Neo, J. Mohamad, Nurulhuda Mohdsatar

Bibliographic record

VenueArab world geographer · 2020
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicFisheries and Aquaculture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodPlan (archaeology)PovertyQualitative researchQualitative propertyWork (physics)

Abstract

fetched live from OpenAlex

A sustainable livelihood framework is useful as a basis for analysing the livelihood of a community. This study explores the choices in livelihood strategies made by Pulau Pangkor coastal fishermen. The qualitative research method was employed and open-ended interview questions were utilized as guided questions. A total of 15 interviews were carried out to reach saturation level in understanding the coastal fishermen’s considerations before making any decision on choice of livelihood strategies. Creswell data analysis spiral was adopted in analysing the data collected. The majority of respondents seem to agree that (1) income generated is often insufficient, (2) they would fall back on savings or cut down on expenses when income is lower than expenses, (3) they attempted to rely mostly on subsidies, (4) they have a short-term plan instead of a long-term plan in dealing with extra income generation, (5) they switched from working for others to operating their own sampan, (6) they do not have any other sources of income; neither do they have unused resources to generate extra income, (7) they are satisfied or somewhat satisfied with their current livelihood situation, and (8) they believe that their livelihood status will worsen.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.227
Teacher spread0.207 · 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.

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
Published2020
Admission routes1
Has abstractyes

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