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Record W6920180293 · doi:10.6068/dp14ba7af450825

Trend 12/1982 - 12/2014. Bureau of Labor Statistics. Import/Export Price Indexes: Import Price Indexes, by BEA End Use | Country: USA | Series: Automotive Parts & Accessories (Incl. Engines & Parts), Excluding Canadian, 12/1982-12/2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-033-008.

2015· other· en· W6920180293 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCommodityPrice indexProduct (mathematics)Producer price indexIndex (typography)Automotive industryGoods and servicesConsumer price index (South Africa)

Abstract

fetched live from OpenAlex

Bureau of Labor Statistics (2015). Import/Export Price Indexes: Import Price Indexes, by BEA End Use | Country: USA | Series: Automotive Parts & Accessories (Incl. Engines & Parts), Excluding Canadian, 12/1982-12/2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 002-033-008. Dataset: Presents an index of prices for goods imported into the United States, by Bureau of Economic Analysis (BEA) end-use code (http://www.bea.gov/international/pdf/end_use_commodity.pdf). The BEA goods export and goods import end-use commodity codes group the commodities by their end-use characteristics. The International Price Program (IPP) of the Bureau of Labor Statistics (BLS) produces Import/Export Price Indexes (MXP), which measure the change over time in the prices of goods or services purchased from abroad by US residents (imports) or sold to foreign buyers by US residents (exports). The Import/Export Price Indexes, along with the Consumer Price Index and Producer Price Index, form the basis of three major BLS programs measuring the change in the prices of goods and services in the US economy. Each of the three has been designated as a Principal Federal Economic Indicator. Published series are based on the following classification structures: Bureau of Economic Analysis End Use, North American Industry Classification System, and the Harmonized System. Product groups covered account for nearly 100 percent of US commodity imports and exports, by value. Works of art and selected special miscellaneous exports are excluded. Services industries covered are air freight and air passenger fares. Imports are reported by locality of origin. Data on US exporters is derived from shippers export declarations, and data on US importers is derived from consumption entry documents. US import and export trade values are used as weights to aggregate index values. IPP collects prices as close as possible to the first day of each reference month. It is important to recognize that, although import and export transaction prices are used to calculate the Import/Export Price Indexes, the IPP does not publish price information. For this reason, the Import/Export Price Indexes cannot be used to measure differences in price levels among different products and services or among different localities of origin. A higher index number for locality A (or product X) does not necessarily mean that prices are higher than for locality B (or product Y) with a lower index number. It only means that prices have risen faster for locality A (or product X) since the reference period. Category: Prices, Consumption, and Cost of Living, International Relations and Trade Source: Bureau of Labor Statistics The Bureau of Labor Statistics (BLS) of the United States Department of Labor is the principal fact-finding agency for the federal government in the broad field of labor economics and statistics. The BLS is an independent national statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the US Congress, other federal agencies, state and local governments, business, and labor. The BLS also serves as a statistical resource to the Department of Labor. http://www.bls.gov/ Subject: Imports, Price Indexes, International Trade

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.014
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0080.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0200.006

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 head0.074
GPT teacher head0.316
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2015
Admission routes1
Has abstractyes

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