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Population Diversity and Role in the Socioeconomic Development of Domestic Buffaloes of Rural Areas of District Haripur, KPK Pakistan

2018· article· en· W2908868447 on OpenAlexvenueno aff
Saira Bibi, Muhammad Fiaz Khan, Aqsa Rehman

Bibliographic record

VenueJournal of Buffalo Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock Management and Performance Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsSocioeconomic statusDiversity (politics)SocioeconomicsRural populationRural developmentGeographyPopulationSocioeconomic developmentEconomic growthAgricultureDemographySociologyAnthropology

Abstract

fetched live from OpenAlex

This study conducted as a type of survey in a time period duration of 6 month that starts from the end of the march to the end of September total of the 1000 houses were visited from each of the selected villages of Haripur Pakistan along with 100 dairy farms study carried out by the questionnaires and by the direct meeting with the keepers of buffalos. Four villages were selected where the highest population of buffaloes were found in Syria maira. The farm buffalos were kept mostly for the purpose of selling the milk Results showed that the most of the areas the buffalo keeping is for the purpose of selling the milk wile in other where the selling rate is not found they keep them for their own food and milk purposes. It facilitate their economic status to rise as a part time job. Government should take steps to rise there stander.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.242
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2018
Admission routes1
Has abstractyes

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