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Record W7057148654

Indonesia Economic Quarterly, June 2011 : Current Challenges, Future Potential

2017· report· en· W7057148654 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe World Bank Open Knowledge Repository (World Bank) · 2017
Typereport
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsDebtCurrent accountCapital (architecture)Investment (military)PortfolioQuarter (Canadian coin)Foreign direct investmentPortfolio investmentCapital marketExternal debtPublic policy
DOInot available

Abstract

fetched live from OpenAlex

Indonesia's economic performance
\n through mid-2011 has been positive. Solid growth has been
\n accompanied by further portfolio capital and foreign direct
\n investment inflows. Public and financial sector balance
\n sheets remain strong. However, events over the past quarter
\n serve as a reminder of a number of Indonesia's ongoing
\n policy challenges. At the same time, the launch of the
\n government's master plan 2011-2025 has focused
\n attention on the investments and policy reforms which can
\n help Indonesia reach its future growth potential. Finally,
\n heightened international risk aversion originating from the
\n Greek debt crisis, and the potential market implications of
\n any haircut, were it to occur, are a reminder of the
\n external shocks which could prompt reversals of short-term
\n capital flows to Indonesia. However, events over the past
\n quarter are a reminder of the current challenges which are
\n faced and the need to put in place, and implement, the
\n policies and investments necessary for Indonesia to reach
\n its potential as a leading global growth driver of the next
\n few decades.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient 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 score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0020.000
Open science0.0070.003
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0820.003

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 head0.034
GPT teacher head0.327
Teacher spread0.293 · 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