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Record W198561245

Management practices of calves in Rajnandgaon district of Chhattisgarh plain

2004· article· en· W198561245 on OpenAlexaboutno aff
Rajiv Deoras, Ram Kumar Nema, U. K. Mishra

Bibliographic record

VenueThe Indian Journal of Animal Sciences · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock Management and Performance Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsColostrumQuarter (Canadian coin)Rural areaGeographyVeterinary medicineAnimal scienceSocioeconomicsMedicineBiology
DOInot available

Abstract

fetched live from OpenAlex

Data on first colostrum feeding, quantity of colostrum fed to the calf, milk provided to calves were collected from 300 farmers from rural area covering 20 villages of all 9 blocks and 100 farmers from Rajnandgaon city under urban area. The managemental practices like disbudding identification of animals and record keeping Were studied. The information was collected from respondents by a questionnaire already prepared. About 41 % rural and 45% urban fanners provide colostrum to the newly horn calf within 2 hr after birth, whereas 31 and 40% rural and urban fanners provide colostrum within 2-4 hr and remaining 28 rural and 15% urban farmers feed eolostrms 4 to 8 hr ailer the birth of calf: Significantly higher (27.66%) rural farmers allowed one quarter for calves in comparison to 14% urban farmers. All the illrmers in rural and in urban area followed suckling method of calf rearing. Significantly (P< 0.01) higher number of urban farmers practice regular deworming of calf. None of the dairy farmers in rural area and barely 7% of the urban dairy farmer followed identification procedure.

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)0.000
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 score0.074
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
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 head0.030
GPT teacher head0.268
Teacher spread0.238 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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