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About this sample
About this sample
Words: 1067 |
Pages: 3|
6 min read
Updated: 16 November, 2024
Words: 1067|Pages: 3|6 min read
Updated: 16 November, 2024
Think about knowledge for a second. It’s like collecting bits of intelligence from the experiences we encounter. As a society, we rely on each other to acquire information. The idea here is that any knowledge shared is usually the result of people working together. Collaboration means people teaming up to achieve common goals. But what is the product of knowledge anyway? To me, it's about gathering bits of information over time to create something complete. It's like sparking a new idea and pursuing it, or refining an old idea to uncover new information.
I chose to explore this topic using natural sciences and indigenous knowledge systems because they resonate with me. So, this essay will tackle the question, “How much does creating knowledge in natural sciences and indigenous knowledge systems show teamwork by challenging what we already know?” Take the Big Bang theory, for instance. In 1927, Georges Lemaître proposed that the universe started from a single atom. Inspired by Einstein’s relativity theory, his idea piqued the curiosity of other scientists like Edwin Hubble and Robert Wilson. This led to theories like Hubble’s Law and cosmic microwave radiation that supported the expanding universe concept (Singh, 2004). Thanks to newer scientists, Lemaître’s theory gained more support, and new evidence emerged that still requires further exploration.
Collaboration shakes up the starting point of knowledge in natural sciences. How do we even acquire knowledge in these fields? Many theorists accidentally stumble upon new ideas. While that can be ingenious, many scientists aim to build on what’s already known. For example, if you wondered about the density of a metal object floating in water, you'd find that denser objects experience an upward force related to their weight. However, you’d get a clearer answer using Archimedes’ principle of buoyancy, which explains how objects behave in fluids (Archimedes, 1897).
Since discoveries arise from shared knowledge, I believe the soundness of reasoning in natural sciences contributes to shared knowledge. Inductive reasoning, drawing general conclusions from specific cases, is a form of teamwork. Our certainty in conclusions stems from past experiences. Skepticism also plays a crucial role in generating new knowledge. It involves questioning and doubting existing beliefs. Popper’s falsification theory asserts that scientists should dedicate time to challenging theories (Popper, 1959). This approach allows new scientists to identify flaws and improve upon them.
Skepticism also suggests the need for a paradigm shift in knowledge. A scientific revolution occurs when scientists become dissatisfied with old models and introduce new perspectives. The term “paradigm shift” refers to the creation of new models to replace outdated ones (Kuhn, 1962). But does this imply that scientific knowledge is unreliable? Induction carries risks because scientists might base theories on limited experiences, leading to significant leaps in history. While paradigm shifts alter perspectives, the history of science demonstrates that knowledge accumulates, either adhering to or breaking away from old ideas to advance new knowledge.
Peer reviewing also exemplifies collaboration. It involves evaluating someone’s work to determine if it meets a standard. In group settings, peer reviewing identifies errors in reasoning, accelerating the delivery of knowledge. If peer reviewing uncovers errors in research, how extensively should experts review the authenticity of established knowledge? Since scientific knowledge can be flawed, it’s crucial for experts to assess research before it becomes public. This process filters out inadequate research early and promotes substantiated knowledge.
Some might argue that collaboration in natural sciences is overlooked due to dogmatism—the tendency to dismiss a theory without considering other viewpoints. Sometimes, scientists are convinced their theory is closer to the truth and reject other ideas as invalid. Another reason for individual knowledge might be the subjective nature of science. Relativism, the belief that there’s no absolute truth and that beliefs depend on judgments and culture, supports this notion. Excessive opposing ideas can lead to more errors. It’s reasonable to limit questioning as it can result in self-doubt, but science must correct itself. History shows that errors in knowledge must be rectified by others in the future.
Let's discuss indigenous knowledge systems. These are minority communities with deep historical ties to specific areas. They’re shaped by culture and pass beliefs and practices down through generations. Indigenous communities rely on collectivism—interdependence and social harmony. According to Indigenous Corporate Training Inc., indigenous knowledge is adaptive (linked to historical experiences), cumulative (gained over years close to nature), and dynamic (changing over time) (Indigenous Corporate Training Inc., 2018). Knowledge is created by communities working together over time, blending with their environment. They believe in sustaining their practices by passing them down generations, cherishing their rich culture.
For knowledge to be passed down orally, there needs to be a storyteller. Tribal elders are respected for remembering and sharing stories from memory. However, a medium is needed to pass these memories to younger generations. Therefore, I believe language is crucial for collaboration in creating knowledge in indigenous communities. Traditional societies rely on oral communication. Language is a symbol for sharing thoughts and experiences, shaping others’ beliefs. How does language, or the lack of it, limit potential knowledge in indigenous communities? The risk of assimilation is higher in English-dominated areas. Cultural assimilation can hinder collaboration if language limits explanations. For example, the First Nations in Canada are facing the decline of their languages. UNESCO reports that over two-thirds of Canada’s 90 indigenous languages are endangered (UNESCO, 2019). Growing up in an English-dominant environment, it’s vital I keep speaking my mother tongue, Malayalam, to revive my cultural heritage. Without Malayalam, I limit my knowledge sharing with the next generation. So, without language, thought is restricted, and without thought, knowledge is limited.
Some might argue against the need for language in collaboration, pointing to tacit knowledge. In indigenous communities, memories might stem from instincts or feelings, known as tacit knowledge, which is challenging to share. Here, knowledge arises from personal experiences, credited to an individual, and cannot be easily expressed to others. While personal experience is valuable for self-teaching, collective knowledge shared through language benefits the storyteller by boosting confidence in their beliefs and archiving it for others to learn from.
Throughout this essay, it’s clear that creating knowledge in natural sciences and indigenous knowledge systems is a team effort. Inductive reasoning, skepticism, and peer reviewing in natural sciences demonstrate collaboration. Similarly, language helps integrate generations in indigenous communities, preserving cultural heritage. As Isaac Newton said, “If I have seen further, it is by standing on the shoulders of giants” (Newton, 1675). We discover new knowledge because of the foundations others have laid. Collaboration is key for growth and protecting against failures. Whether it’s science, music, or daily life, learning is a cumulative task driven by the brilliance of others.
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