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Record W2280056374 · doi:10.25015/penyuluhan.v2i1.2138

HUBUNGAN MOTIVASI KERJA DENGAN PERILAKU NELAYAN PADA USAHA PERIKANAN TANGKAP

2006· article· en· W2280056374 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Penyuluhan · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsFactory (object-oriented programming)Production (economics)Position (finance)Fish <Actinopterygii>Unit (ring theory)BusinessCapital (architecture)EconomicsMicroeconomicsFisheryPsychologyFinanceGeographyComputer science

Abstract

fetched live from OpenAlex

Community of fishermen is one of social segments who considered as having daily life worse than other social segments, such as farmers, factory labourers, etc. Certain efforts can be done to improve the level of life of the fishermen, i.e to increase their production of fish. The way which can be done is by improving the unit of productive assets so that it can increase motivation of the fishermen for better behavior. Recently fishermen are not able to go out from their miserable socio economic situation, mainly due to (a) bargaining position weakness, (b) lacking of capital, (c) low level of knowledge and skill, (d) lacking of supervision, (e) no guarantee of promising market. Based on those evidence it is worth to study the relationship between fishermen motivation and their behavior to increase production of fish.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.015
GPT teacher head0.260
Teacher spread0.245 · 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