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Population, Environment, and Women’s Issues

2002· book-chapter· en· W4255082036 on OpenAlexaboutno aff

Bibliographic record

VenueEnvironmental Toxicology · 2002
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPopulation growthPopulationDeveloping countryWorld populationPovertyBirth rateTotal fertility ratePopulation momentumEconomic growthDevelopment economicsFertilityBusinessGeographyEconomicsFamily planningEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Ultimately, the necessity to supply food, energy, habitat, infrastructure, and consumer goods for the ever-growing population is responsible for the demise of the environment. Remedial actions for pollution abatement, and further technological progress toward energy efficiency, development of new crops, and improvements in manufacturing processes may help to mitigate the severity of environmental deterioration. However, we can hardly hope for restoration of a clean environment, improvement in human health, and an end to poverty without arresting the continuous growth of the world population. According to the United Nations count, world population reached 6 billion in mid October 1999 (1). The rate of population growth and the fertility rates by continent, as well as in the United States and Canada, are presented in Table 14.1. It can be seen that the fastest population growth occurs in the poorest countries of the world. Despite the worldwide decrease in fertility rates between 1975–80 period and that of 1995–2000, the rate of population growth in most developing countries changed only slightly due to the demographic momentum, which means that because of the high fertility rates in the previous decades, the number of women of childbearing age had increased. Historically, the preference for large families in the developing nations was in part a result of either cultural or religious traditions. In some cases there were practical motivations, as children provided helping hands with farm chores and a security in old age. At present the situation is changing. A great majority of governments of the developing countries have recognized that no improvement of the living standard of their citizens will ever be possible without slowing the explosive population growth. By 1985, a total of 70 developing nations had either established national family planning programs, or provided support for such programs conducted by nongovernmental agencies; now only four of the world’s 170 countries limit access to family planning services. As result, 95% of the developing world population lives in countries supporting family planning. Consequently, the percentage of married couples using contraceptives increased from less than 10% in 1960 to 57% in 1997.

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 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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.667
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2120.012

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 head0.011
GPT teacher head0.196
Teacher spread0.185 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2002
Admission routes1
Has abstractyes

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