Malaysia Economic Monitor, June 2015 : Transforming Urban Transport
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.
Bibliographic record
Abstract
After a strong finish in 2014, growth \n moderated in early 2015. Malaysia’s economy expanded by 6.0 \n percent in 2014, accelerating to 7.3 percent q/q saar in \n Q42014 due to resilient domestic demand and a pick-up of \n exports. Growth moderated to 4.7 percent q/q saar in Q1 2015 \n on account of weaker external demand, but domestic demand \n remained strong. To transform the planning and delivery of \n urban transport, Malaysia may consider prioritizing the \n following reforms: (a) Establish lead transport agencies at \n the conurbation level that spearhead an integrated approach \n towards the planning and delivery of urban transport across \n different modes; (b) identify and implement sustainable \n financing mechanisms for the lead agency. Introducing local \n taxes on fuel would not only result in environmental gains \n and trim the fiscal deficit (by RM10-19 billion), but also \n fund transport (for example, 24 percent of Vancouver’s \n transit system is funded by municipal gas taxes). Reviewing \n impediments to transit-oriented development will be another \n option, but should be considered alongside implications for \n affordability and inclusion; and (c) align policies to \n promote public transport with incentives to discourage the \n usage of private transport in congested areas. Introducing \n congestion pricing in areas well-covered by public transport \n as is done inSingapore will be an example of such policies.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it