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Record W2883372792

Third-Quarter GDP

2007· article· en· W2883372792 on OpenAlexaboutno aff
Brent Meyer

Bibliographic record

VenueEconomic Trends · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Investment (military)Gross domestic productEconomicsConsumption (sociology)Real gross domestic productGross private domestic investmentAgricultural economicsMonetary economicsProduction (economics)Return on investmentEconomic growthGeographyMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Real gross domestic product (GDP) increased at a 3.9 percent annualized rate in the third quarter of 2007, following a growth rate of 3.8 percent in the second quarter. Growth in personal consumption expenditures (PCE) accelerated in the third quarter, from 1.4 percent in the second quarter to 3.0 percent in the third. Also contributing to the rise in real GDP was an increase in exports, from 7.5 percent to 16.2 percent, driven by a 23.0 percent spike in goods exports. Imports rose from –2.7 percent to 5.2 percent. Gross private fixed investment was somewhat weaker in the third quarter, rising only 0.8 percent, as residential investment fell 20.1 percent and the growth rate in business fixed investment dropped from 11.0 percent in the second quarter to 7.9 percent in the third. However, investment in equipment and software rose 5.9 percent during the quarter, to its highest growth rate in six quarters. Of course, this information is from the advance report, which is based on incomplete data and, in some cases, trend assumptions, and is subject to further revisions.

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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0550.051

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 head0.022
GPT teacher head0.218
Teacher spread0.196 · 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
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
Published2007
Admission routes1
Has abstractyes

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