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Record W106756593

Energy Prices Jump While Food Prices Show Modest Increases

2012· article· en· W106756593 on OpenAlexaboutno aff
Jonathan Church

Bibliographic record

VenueeCommons (Cornell University) · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomics of Agriculture and Food Markets
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsIndex (typography)Price indexInflation (cosmology)Consumer price index (South Africa)Goods and servicesQuarter (Canadian coin)Food pricesPersonal consumption expenditures price indexSample (material)Producer price indexMonetary economicsAgricultural economicsEconometricsPrice levelConsumer confidence indexMacroeconomicsEconomyMonetary policyFood securityAgricultureGeography
DOInot available

Abstract

fetched live from OpenAlex

The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Produced monthly by the Bureau of Labor Statistics (BLS), the CPI uses a ?market basket,? or a sample of goods and services that consumers purchase for day-to-day living, and weighs each item on the basis of the amount of spending reported by a sample of families and individuals. Widely used as a measure of inflation, the CPI provides information about price changes in the nation?s economy and can be used by government, business, labor, and private individuals as a guide to making economic decisions. Over the last 12 months, the index for all items less food and energy has slowly accelerated. In contrast, the all-items index has decelerated since a 12-month increase of 3.9 percent in September 2011. The September 2011 increase capped a run of steady acceleration in the all-items index that began in December 2010. Despite the contrast, the all-items index increased at a higher rate than the index for all items less food and energy in the first quarter of 2012. This summary compares price changes in the CPI for detailed categories of goods and services over the first quarter of 2012 with those in 2011.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.040
GPT teacher head0.160
Teacher spread0.119 · 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.

Study designTheoretical or conceptual
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
Published2012
Admission routes1
Has abstractyes

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