Community Power and Participatory Decision-Making Essay example -- Kar

Critical theory appears unpopular probably because of its ideological bias as claimed by Pease, Form and Rytina (1970). Liebert and Imershein (1977) similarly assert that a common theoretical tendency in community research is a distinctly â€Å"political theme that tends to find the greatest efficacy and power, and indeed the most universal structure of power, to lie in a certain organized diversity, a pluralist state of subsystems within an integrated system of elites† (pp. 191-192). The primary aim of critical theory, as James Bohman (2005) notes, is to thwart oppression. This theory was not only used by incorporating the best tools but more importantly, to critique what is happening within the research context. Since the community studied is Bautista, a resettlement area and which has an existing power structure, a critical analysis and decisional approach were adapted using the case study design to examine the locale. Critical theory questions the structures and it assumes that science is objective and â€Å"value-free†. Its goal is the emancipation of people from domination (Quebral, 1992 as cited in Drilon, 1998). Critical theorists such as Karl Marx and Jà ¼rgen Habermas are critics of unequal social conditions specifically groups that are excluded from power or from free access to information. Thus, critical theorists do more than observe, interpret or describe; they criticize. Looking through the power structure research lens, this theory helped the researcher by asking who benefits from the unequal distribution of power and who are they taking advantage of by focusing on the community issue. In communication, critical scholars have focused on the role of communication in society and on the control of communication... ...cal dimension† of his work (Dreyfus & Rabinow, 1982, p. 114). He claims that power and knowledge are not external to each other, but that they operate in a mutually generative fashion, as â€Å"nothing can exist as an element of knowledge if [...] it does not possess the effects of coercion† and as â€Å"nothing can function as a mechanism of power if it is not deployed according to procedures, instruments, means, and objectives which can be validated in more or less coherent systems of knowledge† (Foucault, 1997, p. 52). Thus, rather than to study knowledge and power separately, is â€Å"the nexus of knowledge power† that needs to be described in order to grasp the acceptability of the knowledge power system (p. 53). One needs to analyze the connections between power and knowledge to find out why a certain â€Å"regime of truth† has become acceptable at a given historical moment.

Rose

Lee is unafraid to show emotion, especially when writing about his father or his wife. The images Lee finds, such as the rose and the apple, can refer to the life-span off human. Life (on the tree branch), falling off tree (Life- span), then how death Is portrayed by using the ground as the end of life. Even his father's blindness and death can become beautiful. From what I gathered from the poems in Rose, was Lee grew up in a strong tight-knit family environment.He is not afraid to describe is feelings with colorful adjectives, and has a powerful relationship with his mother and father throughout his poems. It is clear that Lee grew up in an atmosphere where there is a certain level of humility, love of speech, from where he also searched for wisdom understanding. Lie-Young Lee's poems are very beautiful and meditative. The way that Lee captures love & longing, subtle forms of love, nuances of parental relationships, and the sadness and reflection that makes it meaningful and though t provoking to the reader.Lee draws on his own life experience in such a way that readers will wonder if he is ring to extract those experiences from his inner self. While these poems are deeply personal, they are also universal in their appeal. Like a child who possesses a sensual, adult relationship with the world, Lie-Young Lee shines with an open gentleness and delicate Iverson 2 sensitivity. Nothing escapes his keen eye and, as he so greatly illustrates, the greatest art is all around us. Lee's poetry results in a clarification or awakening of feelings that summon the reader's desire to examine his or her feelings, and by examining them, express them.Therefore, by reaching into our own self-awareness, we are able to eek redemption. We forgive ourselves. Young Lee's poetry is lucid in the way he captures the details of living with accuracy and tenderness, it moves the reader to awe . Lee reveals the way our families create who we are in a manner that heals the reader and makes u s examine our own lives. Lee often writes about his father and his own attempt to understand his connection to him and the heritage bestowed on him. Lee also uses many forms of symbolism throughout his work. For example, in â€Å"Dreaming of Hair,† the hair is an evil thread of death.This Lee sees the simple image of his father braiding his mother's hair. Lee's work is filled with these varying symbolic representations of the ordinary. This is one of things that make his work so unique and interesting. The poetry of Lie-Young Lee consists of simple forms that create a natural and earthy feel for the reader. The symbolism and imagery in his work comes from the deep well of experience and Lee writes in a style that gives the reader a sense of his urgency – almost as if Lee is trying to purge himself from what lies within him. Because of this, Rose is a very interesting and thought provoking read.

Differences Between Population and Sample Standard Deviations

When considering standard deviations, it may come as a surprise that there are actually two that can be considered. There is a population standard deviation and there is a sample standard deviation. We will distinguish between the two of these and highlight their differences. Qualitative Differences Although both standard deviations measure variability, there are differences between a population and a sample standard deviation. The first has to do with the distinction between statistics and parameters. The population standard deviation is a parameter, which is a fixed value calculated from every individual in the population. A sample standard deviation is a statistic. This means that it is calculated from only some of the individuals in a population. Since the sample standard deviation depends upon the sample, it has greater variability. Thus the standard deviation of the sample is greater than that of the population. Quantitative Difference We will see how these two types of standard deviations are different from one another numerically. To do this we consider the formulas for both the sample standard deviation and the population standard deviation. The formulas to calculate both of these standard deviations are nearly identical: Calculate the mean.Subtract the mean from each value to obtain deviations from the mean.Square each of the deviations.Add together all of these squared deviations. Now the calculation of these standard deviations differs: If we are calculating the population standard deviation, then we divide by n,  the number of data values.If we are calculating the sample standard deviation, then we divide by n -1, one less than the number of data values. The final step, in either of the two cases that we are considering,  is to take the square root of the quotient from the previous step. The larger the value of n is, the closer that the population and sample standard deviations will be. Example Calculation To compare these two calculations, we will start with the same data set: 1, 2, 4, 5, 8 We next carry out all of the steps that are common to both calculations.  Following this out calculations will diverge from one another and we will distinguish between the population and sample standard deviations. The mean is (1 2 4 5 8) / 5 20/5 4. The deviations are found by subtracting the mean from each value: 1 - 4 -32 - 4 -24 - 4   05 - 4 18 - 4 4. The deviations squared are as follows: (-3)2 9(-2)2 402 012 142 16 We now add these squared deviations and see that their sum is 9 4 0 1 16 30. In our first calculation, we will treat our data as if it is the entire population.  We divide by the number of data points, which is five.  This means that the population variance is 30/5 6.  The population standard deviation is the square root of 6. This is approximately 2.4495. In our second calculation, we will treat our data as if it is a sample and not the entire population.  We divide by one less than the number of data points.  So, in this case, we divide by four.  This means that the sample variance is 30/4 7.5.  The sample standard deviation is the square root of 7.5.  This is approximately 2.7386. It is very evident from this example that there is a difference between the population and sample standard deviations.