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A study on livelihood security of rehabilitant farmers

2021· article· en· W3208688310 on OpenAlex
J. S. Binkadakatti

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

VenueINTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodQuarter (Canadian coin)PopulationNatural capitalSocioeconomicsGeographySocial securityAgricultureCapital (architecture)BusinessAgricultural scienceEconomicsBiologyDemographySociology

Abstract

fetched live from OpenAlex

This research analyzed the livelihood security of the rehabilitant farmers of Upper Krishna Project Area (UKP). The present investigation was undertaken in Upper Krishna Project (UKP) area of Bagalkot district, Karnataka state. Livelihood Security of the rehabilitant farmers was analyzed by considering five components viz., natural, physical, financial, human and social capital. All the rehabilitant farmers covering 176 villages and 136 rehabilitation centres spread over in Bagalkot, Bijapur, Belgaum, Gulbarga and Raichur districts under UKP form the population for the study. The present study depicted that Livelihood Security of the rehabilitant farmers was found to be 54.66 per cent. Natural capital of the rehabilitant farmers was found to be the lowest among all the capitals. Social capital performed moderately among the components of the livelihood security. Rehabilitant farmers residing closer, moderately and far away from the District Head Quarter (DHQ) also analyzed. Further study revealed that relatively higher Livelihood Security of 58.58 per cent was observed among the closely distanced rehabilitant farmers from the DHQ. Most of the rehabilitant farmers (35.00%) residing closer to DHQ belonged to high Livelihood Security category.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.279
Teacher spread0.252 · 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