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Record W7043896116

United States economic outlook: Third quarter of 2021

2021· other· en· W7043896116 on OpenAlexaboutno aff

Bibliographic record

VenueDIGITAL REPOSITORY Economic Commission for Latin America and the Caribbean (United Nations) · 2021
Typeother
Languageen
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Latin AmericansFellEconomic shortagePaceEconomic forecastingThird worldProductivity
DOInot available

Abstract

fetched live from OpenAlex

Economic growth in the United States slowed to 2.1% year-on-year in the third quarter of 2021, from 6.7% year-on-year in the second quarter of 2021. Consumer spending in the third quarter rose at its slowest pace since the recovery began, as durable goods spending fell sharply amid supply shortages and rising inflationary pressures. The labour market remained strong, averaging 651,000 new jobs per month. With the Federal Reserve shifting its stance towards reducing accommodative measures at a faster pace, Latin America and the Caribbean may experience tighter external financial conditions next year. The United States economic outlook: third quarter of 2021 presents and analyses macroeconomic developments in the United States economy and examines how they could affect financial conditions in Latin America and the Caribbean. The report includes the gender perspective of the impact of the pandemic on the labour market.

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)0.002
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: Other
Teacher disagreement score0.121
Threshold uncertainty score0.405

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1210.224

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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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
Published2021
Admission routes1
Has abstractyes

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