“Thoreau” Article

 

Henry David Thoreau, and to a great extent, other Transcendentalists, explored deeply how a person can live a more complete, meaningful, and fulfilling life. Strangely, it seems that Thoreau’s ideas related to the damaging effects of distraction, over-complication, and over-consumption have become MORE relevant rather than LESS relevant in the years since he was alive in the mid-19th century. I have collected dozens of articles written in the past decade that discuss and consider the challenges of living in our modern age and the alienation that many people feel due to many modern elements of our lives. All of these articles relate powerfully to the ideas Thoreau communicates to us in his classic work, Walden.

Your task is to read each of the articles linked below–all five of them. Do the following:

1. Annotate at least one–thoroughly.
2. Create a one page reading log for at least one.
3. Create a SoapsTone for at least one.

So, you might end up annotating two articles, creating logs for two of them, and creating a SoapsTone for one of them. You will turn these in as one assignment in Schoology called “Thoreau Article Assignment.”

Then, you will select ONE of the articles to write a highly polished, professional paragraph that meets these requirements:

1. TS will define one aspect of Thoreau’s philosophy that the article clearly reflects. Be very specific.
a. CD (Quote that shows how the article relates to the TS)
i. CM
ii. CM
b. CD (Quote that shows how the article relates to the TS)
i. CM
ii. CM
c. CD (Quote that shows how the article relates to the TS)
i. CM
ii. CM

● MLA Format
● Highly polished
● Cite each quote with author and page number
● No Works Cited page necessary
● Upload completed final draft only to Schoology under the “Thoreau Paragraph” assignment.

Articles:

1. “Do Not Disturb: How I Ditched My Phone and Unbroke My Brain”
https://www.nytimes.com/2019/02/23/business/cell-phone-addiction.html

2. “The Religion of Workism Is Making Americans Miserable” – The Atlantic
https://www.theatlantic.com/ideas/archive/2019/02/religion-workism-making-americans-miserable/583441/

3. “We Are All Accumulating Mountains of Things: How online shopping and cheap prices are turning Americans into hoarder”
https://www.theatlantic.com/technology/archive/2018/08/online-shopping-and-accumulation-of-junk/567985/

4. “Live Alone and Like It”
Thoreau Articles PDF

5. “Time to do Everything Except Think”
Thoreau Articles PDF

Sample Solution

The objective of this research is to use content-based recommendation to recommend shots to a user that contain similar characteristics to movies that user previously rated highly. This entails finding a set of movies the user likes using the MovieLens 20-M dataset. For each of those movies, an item profile is to be built, which is a description of the movie based on a number of pre-determined features. From these movies, a user profile will be inferred. For instance, because the user likes movies with Brad Pitt, it will be inferred that the user will prefer shots with Brad Pitt in a movie trailer. Because the user likes horror movies, it will be inferred that the user likes shots that are stylistically similar to horror movies.
Informed by the literature discussed above, the following features will be used to create item profiles for the content-based recommendation system:
1. Actor appearance. As one of the most important influencers on film quality expectations, actor appearance should be taken into account as a feature to guide scene recommendation. Actor appearances can be extracted from the IMDB dataset. The logic that this follows from is that if a user likes multiple movies that feature the same actor, this actor should have a high degree of importance in building a user profile.
2. Genre. As discussed above, genre is an important influence on film content expectations and a widely-used feature for segmenting audiences. Genre features are included in the MMTF-14K dataset.
3. Visual descriptors. Low-level visual features have been shown to be very representative of the user’s feelings, according to the theory of Applied Media Aesthetics (Deldjoo et al., 2018). The MMTF-14K datasets has aesthetic descriptors and object and scene descriptors extracted from the FC7 layer of the AlexNet convolutional neural network.

3.1 Movie processing

This question has been answered.

Get Answer
WeCreativez WhatsApp Support
Our customer support team is here to answer your questions. Ask us anything!
👋 Hi, Welcome to Compliant Papers.