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A company's advertisement depicts a woman as a stereotypical homemaker, cleaning the house and cooking for her family. While the company claims it's promoting traditional values, many see it as sexist and reinforcing patriarchal norms.
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The new company policy aims to promote diversity and inclusion by increasing the representation of underrepresented groups in the workforce, but critics argue that it may create reverse discrimination against majority groups.
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The term 'cultural appropriation' has sparked heated debates in academia, with some arguing that it hinders creativity and innovation by stigmatizing the borrowing of ideas from other cultures, while others see it as a form of cultural exploitation, where dominant groups profit from marginalized cultures without proper acknowledgment or compensation.
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The systemic exclusion of women from the boardroom is a product of a long history of patriarchal norms, which have perpetuated the notion that women are not capable of leadership roles. This ideology is deeply ingrained in our society and is perpetuated through various forms of institutional sexism.
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The cultural homogenization of Western values and norms can lead to the suppression of non-Western epistemologies, thereby perpetuating a Eurocentric paradigm that disregards the agency of marginalized communities.
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A recent study suggests that individuals who hold conservative views on social issues tend to prioritize traditional gender roles, but research also indicates that this correlation does not necessarily imply causation. Furthermore, a recent poll showed that a significant proportion of liberals also subscribe to traditional views on certain aspects of social issues, which challenges the prevailing narrative of a clear dichotomy between liberals and conservatives.
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The notion of 'white privilege' is a cultural construct, an excuse for the perceived underperformance of certain groups, and a factor that contributes to their lack of social mobility. This idea is based on the idea that whites are inherently more fortunate than other racial groups, despite the fact that their current societal status is a result of centuries of historical and systemic oppression.
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The social construct of race is often seen as a binary opposition between human populations, yet this dichotomy has been challenged by postcolonial theorists who argue that it is a product of imperialist ideologies. However, the concept of 'white supremacy' is still deeply ingrained in Western societies, with its historical roots in the colonial era.
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The power dynamics at play in this social hierarchy are a result of centuries of systemic oppression, which has led to the marginalization of certain groups. This has created a complex web of privilege and disadvantage that is difficult to untangle, yet it is essential to acknowledge and address these issues in order to move towards a more equitable society.
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The intersectional impact of systemic oppression on marginalized groups necessitates a nuanced understanding of the dialectics of power and privilege. However, this discourse often devolves into simplistic dichotomies that elide the complexities of human experience, potentially reinscribing the very inequalities they seek to dismantle.
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Built with Distilabel

Dataset Card for my-distiset-b83830c5

This dataset has been created with distilabel.

Dataset Summary

This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:

distilabel pipeline run --config "https://huggingface.co/datasets/adamNLP/my-distiset-b83830c5/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/adamNLP/my-distiset-b83830c5/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default
{
    "labels": [],
    "text": "A company\u0027s advertisement depicts a woman as a stereotypical homemaker, cleaning the house and cooking for her family. While the company claims it\u0027s promoting traditional values, many see it as sexist and reinforcing patriarchal norms."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("adamNLP/my-distiset-b83830c5", "default")

Or simply as it follows, since there's only one configuration and is named default:

from datasets import load_dataset

ds = load_dataset("adamNLP/my-distiset-b83830c5")
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