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Record W7096994177

Executive Summary

2013· article· en· W7096994177 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Nepal
Canadian institutionsnot available
Fundersnot available
KeywordsOptimismConsumer confidence indexInvestment (military)Work (physics)Executive summaryEconomic recoveryReal gross domestic productUnemploymentQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Moderate GDP growth expected in the June quarter, with downside risks from drought Business optimism signals a pick-up in activity in the second half of the year Inflationary pressures set to increase Global markets stabilise Activity indicators are signalling only moderate GDP growth in the June quarter and it may be even weaker depending on the impact of the drought. This will likely be reflected in the negative contribution from net trade to GDP growth, although a partial offset is expected from stronger consumer spending. Surveys showed that business confidence remains elevated and hiring and investment intentions were positive, providing a solid base for growth in the second half of 2013. Optimism is centred on the construction sector where the pipeline of residential building work is rising in response to regional housing pressures. There were also signs that the recovery will become more broad-based as the expected growth in building activity benefits local manufacturers and the agricultural sector bounces back from the drought. Likewise, elevated consumer confidence will support activity in the service and retail sectors.

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)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.539
Threshold uncertainty score0.768

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.4610.436

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 head0.017
GPT teacher head0.318
Teacher spread0.301 · 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; the direct Gemma label and the distilled Codex classifier 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
Published2013
Admission routes1
Has abstractyes

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