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Record W7044087126

U.S. Economic Outlook. Quarterly developments

2017· other· en· W7044087126 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2017
Typeother
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsNonfarm payrollsInterest rateUnemploymentQuarter (Canadian coin)Stimulus (psychology)PaceInflation (cosmology)WageProductivityUnemployment rate
DOInot available

Abstract

fetched live from OpenAlex

Highlights: -In the third quarter of 2018, the U.S. economy grew at an annualized rate of 3.5% after rising 4.2% in the second quarter. Growth remained strong, but its composition deteriorated, as inventories accounted for almost two-thirds of the growth. Growth was led by consumer spending, which contributed 2.45% to growth, down from 2.6% in the second quarter, and inventories, which contributed 2.3%. -U.S. employers added 2,268,000 jobs from January to November 2018, more jobs than in 2017. Unemployment rate held steady at 3.7% at the end of November, the lowest level since 1969, while year-on-year wage growth was unchanged at 3.1%, equal to the quickest pace since April 2009. -The productivity of nonfarm workers increased at a 2.3% rate in the third quarter, a deceleration from the 3% advance in the second quarter. Labor costs cooled, signaling an easing in inflation pressures. -The trade deficit widened to its highest level in 10 years in October, rising more than expected. Imports have surged due to solid demand growth, while exports have dipped from their May highs due to rising tariffs and a relatively strong dollar. -The Federal Open Market Committee (FOMC) raised interest rates by a quarter point three times in 2018 so far – in March, June and September – and signaled that one more increase is on the way in December, as Fed officials expressed confidence on the strength of the U.S. economy. -The U.S. economic outlook becomes murkier in 2019, as policymakers weigh risks including slower global growth and less fiscal stimulus

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: Other · Consensus signal: none
Teacher disagreement score0.196
Threshold uncertainty score0.656

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1960.263

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 head0.039
GPT teacher head0.331
Teacher spread0.292 · 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
Published2017
Admission routes1
Has abstractyes

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