replicability

简明释义

英[ˌreplɪkəˈbɪləti]美[replɪkəˈbɪləti]

n. 复现性；可复制性

英英释义

单词用法

同义词

反义词

例句

1.Legal protection of the propagating right of information network is in the face of challenge because of its characteristics of globalization, easy replicability, self service and interactivity.

由于信息网络传播具有全球性、易复制性、自助性、互动性等特点，信息网络传播权的法律保护面临挑战。

2.One of the characteristic features of this technique is its replicability .

这种技术的独特的特征之一就是它的可重复性。

3.Legal protection of the propagating right of information network is in the face of challenge because of its characteristics of globalization, easy replicability, self service and interactivity.

由于信息网络传播具有全球性、易复制性、自助性、互动性等特点，信息网络传播权的法律保护面临挑战。

4.Their distinction can also be explained from the aspects of homogeneity, contractibility and replicability.

除此之外，它们的区别还可以从同质性，可收缩性及可复制性三个方面阐释。

5.The Philippine pilot will provide a "blueprint" for the programme's replicability in other less developed nations.

菲律宾的试行将为此计划在其他欠发达国家的展开提供蓝图。

6.One of the characteristic features of this technique is its replicability.

这种技术的独特的特征之一就是它的可重复性。

7.The paper highlighted issues with the replicability of previous studies, calling for more rigorous methodologies.

该论文强调了先前研究的可重复性问题，呼吁采用更严格的方法论。

8.In clinical trials, replicability is crucial to validate the effectiveness of new treatments.

在临床试验中，可重复性对验证新疗法的有效性至关重要。

9.The scientist emphasized the importance of replicability in her research, as it ensures that results can be confirmed by other studies.

科学家强调了她的研究中可重复性的重要性，因为这确保了结果可以被其他研究确认。

10.The replicability of the experiment was questioned after different teams reported varying results.

在不同团队报告出不同结果后，实验的可重复性受到了质疑。

11.Researchers strive for replicability to build trust in their findings within the scientific community.

研究人员努力追求可重复性，以在科学界建立对他们发现的信任。

作文

In the realm of scientific research and empirical studies, the concept of replicability plays a crucial role in validating findings and ensuring the reliability of results. Replicability refers to the ability of a study or experiment to be repeated under the same conditions and yield consistent results. This characteristic is essential for establishing trust in scientific claims and fostering a robust body of knowledge. Without replicability, the scientific community cannot confidently build upon previous work, leading to potential misinformation and wasted resources.One of the most significant issues facing modern science is the so-called 'replication crisis', where numerous studies have been found difficult or impossible to replicate. This crisis raises questions about the integrity of research practices and the validity of published findings. For instance, in psychology and medicine, several high-profile studies have failed to produce the same outcomes when other researchers attempted to replicate them. Such failures not only undermine public trust in science but also highlight the importance of rigorous methodologies and transparency in research.To enhance replicability, researchers must adopt certain best practices. First and foremost, they should prioritize transparency by sharing their data and methodologies openly. This allows other scientists to scrutinize their work and attempt to replicate their experiments accurately. Additionally, researchers should conduct pre-registered studies, where they outline their hypotheses and methods before collecting data. This approach reduces the risk of bias and p-hacking, where researchers manipulate data to achieve statistically significant results.Moreover, fostering a culture that values replication is vital. Journals and funding agencies should encourage the publication of replication studies, even if they yield negative or inconclusive results. Recognizing the importance of replicability in advancing knowledge can help shift the focus from merely producing novel findings to ensuring that those findings are reliable and applicable in real-world scenarios.In fields like social sciences, where human behavior is complex and influenced by myriad factors, achieving replicability can be particularly challenging. However, this does not diminish its importance. By acknowledging these challenges and striving for greater rigor in research designs, scholars can improve the credibility of their work. For example, using larger sample sizes and diverse populations can help ensure that findings are generalizable and not merely artifacts of specific contexts.Furthermore, interdisciplinary collaboration can enhance replicability. By bringing together experts from different fields, researchers can share insights and techniques that may improve the robustness of their studies. This collaborative approach can lead to more comprehensive investigations and a deeper understanding of complex phenomena.In conclusion, the concept of replicability is fundamental to the integrity of scientific research. As the replication crisis highlights, the inability to reproduce findings poses a significant threat to the credibility of science. By prioritizing transparency, encouraging replication studies, and fostering interdisciplinary collaboration, the scientific community can enhance the replicability of research. Ultimately, this will lead to more reliable knowledge that can inform policy decisions, medical practices, and societal advancements. The journey towards improved replicability is not just about correcting past mistakes; it is about building a stronger foundation for future discoveries.

在科学研究和实证研究的领域中，可重复性这一概念在验证发现和确保结果可靠性方面扮演着至关重要的角色。可重复性指的是在相同条件下重复一项研究或实验并获得一致结果的能力。这一特性对于建立对科学主张的信任以及促进坚实知识体系的形成至关重要。如果没有可重复性，科学界就无法自信地在前人工作之上构建新的知识，这可能导致误信息和资源浪费。现代科学面临的一个重大问题是所谓的“复制危机”，许多研究被发现难以或不可能复制。这一危机引发了对研究实践完整性和已发表发现有效性的质疑。例如，在心理学和医学领域，一些备受瞩目的研究在其他研究者尝试复制时未能产生相同的结果。这些失败不仅破坏了公众对科学的信任，还突显了严格方法论和研究透明度的重要性。为了增强可重复性，研究人员必须采用某些最佳实践。首先，他们应优先考虑透明度，公开分享他们的数据和方法。这使其他科学家能够审查他们的工作并准确尝试复制他们的实验。此外，研究人员还应进行预注册研究，在收集数据之前概述他们的假设和方法。这种方法减少了偏见和p-hacking的风险，即研究人员操纵数据以获得统计显著结果。此外，培养重视复制的文化至关重要。期刊和资助机构应鼓励发表复制研究，即使这些研究得出的结果是负面的或不确定的。认识到可重复性在推进知识中的重要性可以帮助将重点从单纯产生新发现转向确保这些发现是可靠的并且可以应用于现实场景。在社会科学等领域，由于人类行为复杂且受到多种因素的影响，实现可重复性可能特别具有挑战性。然而，这并不降低其重要性。通过承认这些挑战并努力提高研究设计的严谨性，学者们可以提高其工作的可信度。例如，使用更大的样本量和多样化的人群可以帮助确保发现是可推广的，而不仅仅是特定背景的伪影。此外，跨学科合作可以增强可重复性。通过汇聚来自不同领域的专家，研究人员可以共享见解和技术，从而改善他们研究的稳健性。这种协作方式可以导致更全面的调查和对复杂现象的更深入理解。总之，可重复性这一概念是科学研究诚信的基础。正如复制危机所强调的，无法重现发现对科学的可信度构成了重大威胁。通过优先考虑透明度、鼓励复制研究和促进跨学科合作，科学界可以增强研究的可重复性。最终，这将导致更可靠的知识，可以为政策决策、医疗实践和社会进步提供信息。改善可重复性的旅程不仅是纠正过去的错误；它是为未来的发现建立更坚实的基础。