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Record W2259762779

A case study of female foeticide in Jammu and Kashmir

2013· article· en· W2259762779 on OpenAlexaboutno aff
Tawhida Akhter

Bibliographic record

VenueEXCEL International Journal of Multidisciplinary Management Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsDowryGirlForced marriageSocioeconomicsArranged MarriageLawDemographyGeographyGender studiesPolitical scienceSociologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

Female foeticide is the act of aborting a fetus because it is female. This is a major social problem in India and has cultural connections with the dowry system that is ingrained in Indian culture, despise the fact that it has been prohibited by law since 1961. Social discrimination against women and a preference for sons have been promoted. It is estimated that more than 10 million female fetuses have been illegally aborted in India. Researchers for the Lancet journal based in Canada and India stated that 500,000 girls were being lost annually through sex-selective abortions. Female feticide has led to an increase in human trafficking. In 2011, 15,000 Indian women were bought and sold as brides in areas where feticide has led to a lack of women. Jammu and Kashmir State of northern India -has dwindled from 900 in 2001 to 883 in 2011. In northern India too, the daughters have been considered a burden and a liability in the society. Killing the brides for want of dowry is a common incident. So the birth of a girl child is an ill omen for the family. The reasons for high number of incidence of female foeticide in India espically in Jammu and Kashmir include a deep rooted traditional son preference, continued practice of dowry and concern for safety of the girl child and exploitation and abuse of women and girl children. Some facts related to the female foeticide are due to the biased attitude which is meted out to the women. Inadequate education is also its main cause. Female Foeticide is one of the gravest issues of the 21st century which needs to be addressed and tackled effectively by the human fraternity. Unless paid attention, Female Foeticide, if being carried on at the existing rate, is bound to bring forth several social problems in the near future. Owing to shortage of the female sex, there will be a sharp increase in the instances of rape, molestations and growth of homosexuality in the society. For the growth and development of mankind and the progress of humanity, men and women cannot be in conflict with one another; rather they are sought to be in coordination and cooperation with one another, for they are incomplete alone. Saving the girl child hence becomes absolutely important as in the long run man cannot strive alone. Being the civilized citizens, it is our duty to raise voice against the declining sex ratio and killing of girl child. Being a woman it is our primary duty as well as concern to come forward to stop this menace.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.091
GPT teacher head0.402
Teacher spread0.311 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2013
Admission routes1
Has abstractyes

Explore more

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