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Record W2523330091

Agriculture: Grains - Outlook to 2005-06

2001· article· en· W2523330091 on OpenAlexaboutno aff
Scott Turner, David Barrett, Amy Beasley

Bibliographic record

VenueAustralian Commodities: Forecasts and Issues · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsHectareAgricultural economicsAgricultureProduction (economics)EconomicsProductivityConsumption (sociology)Agricultural productivityForecast periodQuarter (Canadian coin)Agricultural scienceGeographyEnvironmental scienceMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

World grain prices are forecast to improve in 2001-02 as consumption grows faster than production and stocks fall. Wheat and coarse grain prices are projected to remain steady in real terms for the remainder of the projection period to 2005-06, while oilseeds prices are projected to ease. Total Australian area sown to grains is projected to increase from 20.9 million hectares in 2000-2001 to around 21.7 million hectares in 2005-06, as producers largely maintain returns through a combination of steady world prices in real terms and continuing productivity growth. With Australia being a major exporter of grains, the five year outlook for Australian grain prices and production will be strongly influenced by developments in world markets, with key issues being world economic growth, the size of grain crops, and EU and US agricultural policies.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.028

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 head0.034
GPT teacher head0.250
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2001
Admission routes1
Has abstractyes

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