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Record W2624883071

Prof. Dr. Ehsan Rashid Memorial Lectures :Meeting Food Security €“ Gm Or Organic Way?

2014· article· en· W2624883071 on OpenAlexaboutno aff
Shahida Wizarat

Bibliographic record

VenuePakistan journal of applied economics · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureAgricultural economicsFood securityYield (engineering)Government (linguistics)EconomicsBusinessGeography
DOInot available

Abstract

fetched live from OpenAlex

Agricultural sector is still the largest sector of the Pakistan economy contributing almost one-fifth to the GDP and providing employment to a little less than half the total employed labor force. Trends in agriculture growth reflect that agriculture grew at an average rate of 4.4 per cent per annum during the 1990s. During the 2000 decade the rate of growth of the agricultural sector has been quite erratic, ranging between -2.7 per cent to 6.5 per cent. The pathetic performance is also on account of the fact that no investments were made in the agricultural sector that would increase the crop yield. Water which is a crucial input is quite deficient and no investments have been made in water development projects, farm to market roads, power development projects, storage and warehousing facilities, etc. The performance of the agriculture sector was stronger than expected during 2004-05 and 2005-06; but from 2006-07 onwards agricultural growth started declining. The decline continued till 2012-13, in spite of substantial increase in support prices of agricultural products in 2008, by the previous government. Violent fluctuations in the production of five major crops occurred during the period 2003-4 to 20012-13. A high rate of growth in one year was followed by a negative growth rate in the following year. These fluctuating growth rates of major crops reflects the following: One, that Pakistan’s agriculture is totally at the mercy of the weather. Second, that the high support prices of agricultural crops announced in 2008 did nothing to boost agricultural growth. Third, poor management of the Pakistan economy. As a result of declines in major food crops like wheat, lentils and vegetables, Pakistan is becoming food insecure. The country has been importing these products from abroad. A recent IOBM survey of major food retailers in Karachi indicated that we are importing wheat from Russia, lentils from Australia, Canada and India and vegetables from India. Major Genetically Modified (GM) producing countries are highlighted in green in Figure 1. The worrying thing is that with the exception of Russia which exports wheat to Pakistan, all countries exporting lentils and vegetables to Pakistan like Australia, Canada and India are GM producing areas.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.794

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.218
Teacher spread0.203 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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