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Record W243297430 · doi:10.59962/9780774850698-004

Global Consumption from the Perspective of Population Health

2007· book-chapter· en· W243297430 on OpenAlexaboutno aff
Clyde Hertzman, Shona Kelly

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsLife expectancyPer capitaConsumption (sociology)Standard of livingPer capita incomePopulationDevelopment economicsGross domestic productEconomicsMeasures of national income and outputDemographic economicsPolitical scienceEconomic growthDemographySociologyMarket economySocial science

Abstract

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Can wealthy societies maintain their health status while consuming less of the world's resources? This may seem like an esoteric question, yet Canada has recently ratified the Kyoto Accord. In order to meet its commitments under the Accord, Canada will need to reduce emissions of carbon dioxide by approximately 20% over the next decade. Since carbon dioxide is the end product of consumption of resources the question is de facto irresistible. In the modern world, health, wealth, and consumption tend to occur together. Increasing per capita income among countries tends to be associated with increasing longevity. Early in this century the relationship was simple: life expectancy was longer in countries with higher per capita incomes. However, in recent decades the relationship between health and wealth has become more complex as nations have grown richer. The specific character of this complexity forms a basis for a more encouraging answer to the question posed above. When longevity and national income curves are plotted together on a single graph, the cause for optimism can be seen in the changing character of the curves throughout the twentieth century. Figure 1 shows that, in 1900, the relationship between increasing national health and wealth was nearly linear. Wealthier meant healthier. But throughout the twentieth century the strength of this association increasingly broke down. By 1960, the slope of the health-wealth had flattened at the rich end, such that variations in national income per capita were no longer strongly associated with further increases in life expectancy. By 1990 all the world's wealthiest nations (those belonging to the Organization of Economic Cooperation and Development) found themselves on this of the curve (World Bank 1993). At the same time, the traditional monotonic relationship between health and wealth persisted among the world's poorer countries; a pattern referred to here as the steep incline, to distinguish it from the of the curve. [FIGURE 1 OMITTED] There are several ways to interpret these trends. One of the simplest is to assert that the material factors that limit health status in poor societies, such as food, clothing, shelter and clean water, become relatively unimportant determinants of health when national income reaches a certain level. This is intuitively appealing because there is such a thing as a sufficient amount of food, clothing, shelter, and clean water, beyond which further consumption should not lead to further health benefit. It may be pleasant to have better food, clothing and shelter, but they would not necessarily confer additional health benefits. One simple conclusion, from the standpoint of economic development and health, is that poorer countries' attempting to match the rich, and reach the flat of the curve, is an essentially benign objective. In other words, the relationship between healthy and wealthy countries and poor and unhealthy countries ought to be one of imitation of the former by the latter. This interpretation assumes that economic growth, traditionally defined, is a laudable objective regardless of the forms that it takes. But this view is challenged by evidence that shows how differently and poor nations appropriate global photosynthetic resources. This is best represented in the calculation of the ecological footprint, which is a measure of the area of the Earth's surface appropriated for its use by a given population in a given year (Wackernagel 1995). Consumption of ecologically productive land (that is, land appropriated for energy, agriculture, and forest products as well as the area of the built environment per se) has grown rapidly across the globe in recent decades. Between 1950 and 1990, the appropriation of ecologically productive land by the worlds' richest countries increased from approximately 2 hectares to between 4 and 6 hectares per capita. …

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.003
Scholarly communication0.0030.005
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.046
GPT teacher head0.262
Teacher spread0.216 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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
Published2007
Admission routes1
Has abstractyes

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