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Record W4237722303 · doi:10.1108/oxan-db244502

South Africa policy cracks complicate economic plans

2019· other· en· W4237722303 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2019
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Analysis and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMandateEquity (law)Government (linguistics)Political sciencePensionInflation (cosmology)Monetary policyUnemploymentDevelopment economicsEconomic stagnationQuarter (Canadian coin)EconomicsEconomic policyEconomic growthGeographyLawMonetary economicsPolitics

Abstract

fetched live from OpenAlex

Subject South African reform dillemmas. Significance The rand dropped to eight-month lows last week amid conflicting signals from the ruling ANC on changing the mandate of the South African Reserve Bank (SARB). This followed news of the worst first-quarter economic decline in a decade. Renewed question marks have been raised over President Cyril Ramaphosa’s ability to gain consensus on economic policy and to provide the policy certainty that investors desperately seek. Impacts The 27.6% unemployment rate (over 50% for young people) will likely edge higher, providing fertile ground for social protest and crime. Weakness in the rand could re-ignite concerns about inflation, making an interest rate cut less likely this year despite weak growth. The government's reluctance to put South African Airways into business rescue may force it to try to bring in a strategic equity partner.

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)0.006
metaresearch head score (Gemma)0.015
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.061
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0130.010
Open science0.0010.006
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0610.010

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 head0.037
GPT teacher head0.246
Teacher spread0.209 · 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
GenreCommentary

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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