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Record W7043118377

Spain's unemployment edges up to 18.8 percent

2017· other· en· W7043118377 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2017
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicUnemployment and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsUnemploymentQuarter (Canadian coin)Unemployment rateFull employmentWork (physics)Christian ministryDiscouraged workerGovernment (linguistics)Financial crisis
DOInot available

Abstract

fetched live from OpenAlex

Spain's unemployment rate edged up slightly to 18.8 percent in the first quarter, partly due to the end of temporary jobs tied to the winter holiday, and interrupting an overall downward trend in recent years. Spain's unemployment rate has edged up slightly to 18.8 percent.National Statistics Institute said the number of people out of work rose by 17,200 in January through March to a rounded 4.3 million.The first quarter numbers interrupt an overall downward trend in recent years...The Economy Ministry said the increase in the first quarter reflected seasonal adjustments as the period normally sees many temporary jobs in the service sector being lost after the Christmas period.Spain's unemployment peaked at 27 percent in 2013 just before it began to emerge from a tough five-year financial crisis.The country still has the second-highest unemployment rate in the EU behind Greece.Spain's conservative government has made reducing unemployment and boosting economic growth its main goals since taking office in 2011.The country plans to create some 500,000 new jobs this year, bringing the unemployment rate below 17 percent.For the AP I'm BB from the Rivet World Desk.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0390.041

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 head0.041
GPT teacher head0.242
Teacher spread0.201 · 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
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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