artificial classification

简明释义

人为分类

英英释义

例句

1.The study focused on the limitations of artificial classification in machine learning algorithms.

这项研究集中于机器学习算法中人工分类的局限性。

2.In biology, artificial classification can sometimes overlook natural relationships between species.

在生物学中，人工分类有时会忽视物种之间的自然关系。

3.Critics argue that artificial classification can lead to oversimplification of complex issues.

批评者认为，人工分类可能导致对复杂问题的过度简化。

4.The librarian explained that artificial classification systems are used to organize books by subject.

图书管理员解释说，人工分类系统用于按主题组织书籍。

5.The use of artificial classification in social sciences can create biases in data interpretation.

在社会科学中使用人工分类可能会导致数据解释中的偏见。

作文

In the world of science and academia, the concept of classification is fundamental. It helps organize knowledge and allows for easier understanding of complex subjects. However, not all classifications are created equal. One term that often arises in discussions about categorization is artificial classification. This term refers to a system of categorizing items or concepts based on arbitrary criteria rather than natural relationships. Understanding this concept can provide insight into various fields, including biology, linguistics, and even social sciences.To illustrate, consider the field of biology. In biological taxonomy, organisms are classified based on their evolutionary relationships and shared characteristics. This method is known as natural classification. However, there are instances where scientists might use artificial classification to group organisms based on specific traits that do not necessarily reflect their evolutionary history. For example, one might classify animals based on whether they can fly or not, regardless of their genetic lineage. While this method can be useful for certain practical purposes, it can also lead to misleading conclusions about the relationships between different species.Similarly, in linguistics, languages can be classified in various ways. A natural classification might group languages based on their historical roots and similarities in grammar and vocabulary. On the other hand, an artificial classification could categorize languages based on superficial features, such as the number of speakers or geographic distribution. While this can provide useful information for sociolinguistic studies, it may overlook deeper connections between languages that share a common ancestry.The implications of artificial classification extend beyond the realms of science and academia. In social sciences, researchers often categorize individuals or groups based on predefined criteria, such as age, gender, or socioeconomic status. While these categories can help analyze trends and patterns in society, they can also oversimplify complex human behaviors and identities. By relying too heavily on artificial classification, researchers risk overlooking the nuances and diversity that exist within populations.Moreover, artificial classification can have real-world consequences. For instance, in education, students may be categorized based on standardized test scores. This classification can lead to tracking systems that place students in different academic paths. While this system aims to tailor education to individual needs, it can also perpetuate inequalities and limit opportunities for those placed in lower tracks based on arbitrary measures.In conclusion, while artificial classification can serve useful purposes in organizing information and facilitating analysis, it is essential to recognize its limitations. By being aware of the distinctions between artificial and natural classification systems, we can approach categorization with a more critical mindset. This awareness allows us to appreciate the complexity of the world around us and avoid the pitfalls of oversimplification. Ultimately, embracing a more nuanced understanding of classification can lead to richer insights and a deeper appreciation of the interconnectedness of various fields of study.

在科学和学术界，分类的概念是基础性的。它有助于组织知识，并使复杂主题更易于理解。然而，并非所有的分类都是平等的。在关于分类的讨论中，一个常常出现的术语是人工分类。这个术语指的是基于任意标准而不是自然关系对项目或概念进行分类的系统。理解这一概念可以为生物学、语言学甚至社会科学等各个领域提供洞察。为了说明这一点，我们考虑生物学领域。在生物分类法中，生物根据其进化关系和共同特征进行分类。这种方法被称为自然分类。然而，在某些情况下，科学家可能会使用人工分类来根据特定特征对生物进行分组，这些特征并不一定反映它们的进化历史。例如，人们可能会根据动物是否能飞行来分类，而不考虑它们的遗传谱系。虽然这种方法在某些实用目的上可能是有用的，但也可能导致对不同物种之间关系的误导性结论。同样，在语言学中，语言可以以各种方式进行分类。自然分类可能根据语言的历史根源以及语法和词汇的相似性对语言进行分组。另一方面，人工分类可以根据表面特征，如说话人数或地理分布来对语言进行分类。虽然这可以为社会语言学研究提供有用的信息，但它可能会忽视那些共享共同祖先的语言之间更深层次的联系。人工分类的影响超越了科学和学术的领域。在社会科学中，研究人员通常根据预定义的标准对个人或群体进行分类，例如年龄、性别或社会经济地位。虽然这些类别可以帮助分析社会中的趋势和模式，但它们也可能简化复杂的人类行为和身份。过于依赖人工分类，研究人员就有可能忽视人群中存在的细微差别和多样性。此外，人工分类可能会产生现实世界的后果。例如，在教育中，学生可能会根据标准化考试成绩进行分类。这种分类可能导致跟踪系统，将学生置于不同的学术路径上。虽然该系统旨在根据个人需求量身定制教育，但它也可能延续不平等，并限制那些根据任意标准被放置在较低轨道上的机会。总之，虽然人工分类在组织信息和促进分析方面可以发挥有用的作用，但认识到其局限性是至关重要的。通过意识到人工分类和自然分类系统之间的区别，我们可以以更批判的心态看待分类。这种意识使我们能够欣赏周围世界的复杂性，避免过度简化的陷阱。最终，接受对分类的更细致的理解可以带来更丰富的见解，并更深刻地理解各个研究领域之间的相互联系。