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Record W2597316669 · doi:10.3138/jcfs.43.1.11

Fertility Decline and Family Change in India: A Demographic Perspective

2012· article· en· W2597316669 on OpenAlex
Bali Ram

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Comparative Family Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsCarleton University
Fundersnot available
KeywordsFertilityDemographyTotal fertility rateGeographyRemarriageChildlessnessTamilSocioeconomicsDemographic transitionPopulationFamily planningSociologyResearch methodology

Abstract

fetched live from OpenAlex

The objective of this paper is to examine the relationship between fertility decline and selected patterns of the Indian family in the late 20th century. Much of the analysis presented in the study is based on secondary data collected and compiled by various organizations, including the three most recent National Family Health Surveys, 1990-92, 1998-99, and 2005-06. I find that since the mid-1970s, fertility decline in India has been impressive (falling from about 6 to 3 children per woman within an interval of 30 years). Its pace has slowed down in recent years and regional differences have remained largely unchanged. In 2003-05, the fertility rate varied from below replacement level for Goa, Punjab, Himachal Pradesh, and four southern states (Andhra Pradesh, Karnataka, Kerala and Tamil Nadu) to about four children per woman for Bihar and Uttar Pradesh. In general, most Indian couples–even in low fertility states–have more children than they would like. The two-child family is the most desired. Although the one child family is increasingly accepted, it remains largely marginal while the prevalence of voluntary childlessness is virtually nonexistent. The average age at marriage has increased over the years, yet early marriages continue to be prevalent in many parts of the country. The median age at marriage for women is as low as 16 years (in 2003-05) in Andhra Pradesh and Bihar. The average age of women when they have their first child has barely changed–staying below age 20–over several generations. However, the age when they complete their childbearing has declined, resulting in a compression of the reproductive life span. Couples continue to accept female sterilization as a means to stop having children rather than choose other methods of contraception for the purpose of child spacing. Most couples are increasingly opting for a smaller number of children, yet they would like to make sure that one of them is a boy. Thus many continue to have children until they have a boy, although this pattern has become less pronounced among couples of younger generations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.235
GPT teacher head0.438
Teacher spread0.203 · 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