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About this sample
About this sample
Words: 1067 |
Pages: 3|
6 min read
Published: Feb 13, 2024
Words: 1067|Pages: 3|6 min read
Published: Feb 13, 2024
Think about knowledge for a sec. It’s like collecting bits of smarts from stuff we learn through experience. As a society, we lean on each other to get info. The idea here is that any knowledge shared is usually the result of people working together. Collaboration just means people teaming up to reach common goals. But what’s a product of knowledge anyway? To me, it's about gathering bits of info over time to create something complete. It's like sparking a new idea and chasing it, or tweaking an old idea to dig up new info.
I chose to dive into this topic using natural sciences and indigenous knowledge systems because they resonate with me. So, this essay is gonna 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, George Lemaitre said the universe started from a single atom. Inspired by Einstein’s relativity theory, his idea got other scientists like Edwin Hubble and Robert Wilson curious. This led to theories like Hubble’s Law and cosmic microwave radiation that backed the expanding universe idea. Thanks to newer scientists, Lemaitre’s theory got more support, and new evidence came in that still needs more digging.
Collaboration shakes up where knowledge in natural sciences starts. How do we even get knowledge in these fields? A lot of theorists accidentally stumble upon new ideas. While that can be clever, many scientists aim to build on what’s already known. Like, if you wondered about the density of a metal object floating in water, you'd figure out that denser objects face an upward push related to their weight. But you’d get a clearer answer using Archimedes’ principle of buoyancy, which explains how things behave in fluids.
Since discoveries come from shared knowledge, I think the soundness of reasoning in natural sciences adds to shared knowledge. Inductive reasoning, drawing general conclusions from specific cases, is a type of teamwork. Our certainty in conclusions comes from past experiences. Skepticism also plays a big role in new knowledge. It’s about questioning beliefs and doubting them. Popper’s falsification theory says scientists should spend time challenging theories. This way, new scientists can find flaws and improve on them.
Skepticism also hints at the need for a paradigm shift in knowledge. A scientific revolution happens when scientists get fed up with old models and bring new perspectives. “Paradigm shift” is about creating new models to replace old ones. But does this mean scientific knowledge is unreliable? Induction has risks because scientists might base theories on limited experiences, causing big leaps in history. While paradigm shifts change perspectives, science history shows knowledge builds up, either obeying or breaking away from old ideas to push new knowledge.
Peer reviewing shows collaboration too. It’s about checking someone’s work to see if it meets a standard. Working in groups, peer reviewing catches mistakes in reasoning to speed up knowledge delivery. If peer reviewing spots errors in research, how much do experts need to review the authenticity of established knowledge? Since scientific knowledge can be flawed, it’s crucial for experts to evaluate research before it goes public. This filters out bad research early and promotes supported knowledge.
Some might say collaboration in natural sciences is overlooked because of dogmatism—the tendency to dismiss a theory without considering other views. Sometimes, scientists are sure 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 beliefs depend on judgments and culture, supports this. Excessive opposing ideas can cause more errors. It’s reasonable to limit questioning as it can lead to self-doubt, but science must correct itself. History shows errors in knowledge must be fixed by others in the future.
Let's talk about indigenous knowledge systems. These are minority communities with deep historical ties to certain areas. They’re shaped by culture and pass beliefs and practices down 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). 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. But a medium is needed to pass these memories to younger generations. So, I think 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 says over two-thirds of Canada’s 90 indigenous languages are endangered. 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 come from instincts or feelings, known as tacit knowledge, which is hard to share. Here, knowledge comes from personal experiences, credited to an individual, and can’t be expressed to others. While personal experience is great for self-teaching, collective knowledge shared through language benefits the storyteller by boosting confidence in their beliefs and being archived 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 show 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.” We find 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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