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Record W4233361923 · doi:10.1108/oxan-db246391

New Zealand’s economy sound but facing headwinds

2019· other· en· W4233361923 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2019
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic, financial, and policy analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLiberian dollarUnemploymentEconomicsGovernment (linguistics)Capital (architecture)Monetary policyChinaQuarter (Canadian coin)BusinessInternational economicsFinanceMonetary economicsPolitical scienceGeographyEconomic growth

Abstract

fetched live from OpenAlex

Significance International trade uncertainty was a factor in the Reserve Bank of New Zealand (RBNZ)’s August 7 decision to cut the official cash rate (OCR) by 50 basis points (twice the market forecast). The RBNZ has downgraded its GDP and employment forecasts, but growth was reasonable in the first quarter and unemployment fell to an eleven-year low in the second. However, the bank is concerned about the US-China trade conflict and is mindful of loosening monetary policy in line with its international peers, to prevent New Zealand’s dollar from becoming over-valued. Impacts The RBNZ may raise capital holding requirements for commercial banks, after a review aiming to strengthen banks. Bank depositors will be protected under a forthcoming new bank deposit protection scheme. New Zealand’s government will push quickly to conclude a free trade deal with the United Kingdom post-Brexit.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.313
Threshold uncertainty score0.623

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1340.032

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 head0.026
GPT teacher head0.234
Teacher spread0.208 · 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
Published2019
Admission routes1
Has abstractyes

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