Female foeticide on rise in India: Causes, Effects and the role of media to overcome this problem.
Notice bibliographique
Résumé
Since time immemorial, human civilization has witnessed one thing in common among entire nations on this planet and i.e. exploitation of women. Women who roughly constitute half a human population have been discriminated, harassed and exploited irrespective of the country to which they belong, unmindful of the religion, which they profess, and oblivious of the time-frame in which they live. Though we consider this century as an advanced and modern one, still women are confronting new challenges and facing severe threats to maintain respect, equality and dignity. Female foeticide is perhaps one of the worst forms of violence against women where a woman is denied her most basic and fundamental right i.e. “the right to life”. The phenomenon of female feticide in India is not new, where female embryos or fetuses are selectively eliminated after pre-natal redetermination, thus eliminating girl child even before they are born.<br> Authors Steven D. Levitt and Stephen J. Dubner have argued that if women could choose their birthplace, India might not be a wise choice for any of them to born. It is estimated that more than 10 million female foetuses 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. The land of martyred former Prime Minister Mrs. Indira Gandhi has been killing its daughters by the millions for decades. Nationwide, the numbers of girls for every 1000 boys has dropped from 975 in 1961 to 910 in 2011.The situation is particularly alarming in some of the urban areas of Punjab, Rajasthan, Haryana, Himachal Pradesh and Madhya Pradesh; especially in parts of Punjab, where there are only 300 girls for every 1,000 boys, according to Laura Turquet, Action Aid’s Women’s Rights policy official. It has been widely noticed that Punjabi culture is extremely violent as well as abusive towards the women at large, with no respect for the fairer sex.<br> Hence, this research paper wants to throw light that what are the factors behind Gender-bias and pitiable conditions of the Girl child. How far Indian media is responsible for stereotyping the women and portraying her as an inferior being? What possible roles can government, media and social action-groups can play in women empowerment and to fight the cancerous mentalities which led couples to abort female fetuses. This Research Paper intends to evaluate the problem, causes behind it and to find innovative and peaceful solutions for the biggest challenge 21<sup>st</sup> century India face.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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