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Record W2503015936 · doi:10.1057/9780230234253_12

Environmental and Resource Implications of Chinese Growth: Current Trends and Future Prospects

2009· book-chapter· en· W2503015936 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

VenuePalgrave Macmillan UK eBooks · 2009
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicWater Resources and Management
Canadian institutionsnot available
Fundersnot available
KeywordsNatural resourceArable landPer capitaChinaNatural resource economicsEconomic shortagePopulation growthQuarter (Canadian coin)Consumption (sociology)Resource (disambiguation)Natural (archaeology)PopulationGeographyAgricultural economicsEconomicsBusinessAgricultureEcology

Abstract

fetched live from OpenAlex

China is a country rich in natural resources. However, due to its large population size, the per capita availability of many essential natural resources is much less than the corresponding world average. For instance, China’s per capita availability of water, arable land, and mineral resources is only 28, 32, and 50 percent of the corresponding global levels. As the result of her remarkable economic growth, China’s consumption of natural resources has increased very rapidly over the last few decades. Among 45 major natural resources that are essential for industrial development, one quarter has already been in shortage of supply. The shortage of key natural resources is viewed as one of the critical constraints on China’s future economic growth.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.205
Teacher spread0.198 · 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