Skip to main content

June 11: Objectivity?

     How do values effect objectivity?

    In class today we went over the effects values have on science and its objectivity. Below is a still from a video I will be analyzing along with a link to that video. In the video the Pitbull licks the bunny while the bunny moves around the Pitbull.

https://utk.instructuremedia.com/embed/5dc6395e-cff0-4bcf-8fd2-33f76d7c21dc


Analysis of the video

    It looks like the Pitbull is grooming the bunny while the bunny seems to be grooming itself. I am assuming this is the case because the bunny does not look particularly scared while the dog is licking it. Pitbulls tend to groom animals so it does not seem farfetched that it would groom the bunny.

Analysis of the analysis

    When I did my analysis I looked at the video assuming that the dog was not intending to hurt the bunny. I did this because that would make me sad and I don't want to think let alone write about it. It would be a good idea to look at the behavior of the animals for longer then 30 seconds along with hearing other peoples thoughts on what could be happening.

Reanalysis of the video

    My opinions did not hugely change after watching the video another time. I think is there is a definite possibility that the dog is licking sweat off of the bunny but I still feel that it is most likely grooming. I still stand by my original analysis of the video 




Comments

Post a Comment

Popular posts from this blog

June 4: Engineering Design Process

     Today in Stem Skills we worked in groups to make a mode of "transportation" using Knex. To do this we used the engineering method.     Step One Define the Problem: The problem is pretty clear make something move from point A to point B     Step Two Brainstorm Solutions: A couple ideas came straight to mind, A car, something with wheels, A catapult. As soon as the thought of flinging something came up we knew that that is what we are doing.     Step Three Research Ideas: We began to look at the different ways to fling things around. The main ideas are a trebuchet, a catapult, or a ballista. As we looked in to the trebuchet we realized that it would be difficult to build as it has a lot of moving pieces. A catapult seemed like it could work but it did not seem as easy as a ballista as most of the pieces of a catapult are less connected then with a ballista. For a ballista we need to have some form of moving piece and a way to store up ener...
Post a Comment
Read more

June 10: How to make a rock (using Onshape)

3D printing and my experience with it      I have a decent amount of experience with 3D printing, I own a printer and have made a bunch of models. I have printed replacement pieces for board games, stencils for D&D battle maps. Whenever there is a problem that requires a small plastic piece of very specific parameters I can make a solution. At one point the band had water bottles whose handles would snap off every other second so I went and made a file for replacement. It is safe to say that in any practical situation I can make something. There is one thing I have no clue how to do, and that is make something completely impractical, so incredibly pointless that it exist for the shear fact that it exist. Today I made a rock. A quick discussion on the concept of rocks      Rocks do not have a reason to exist, they did not decide that they wanted to be, they simply are. Rocks are not uniform they do not attempt to be perfect in any way, a rock that is a p...
Post a Comment
Read more

June 17: Visualization and AI

 Visualization     We worked on data visualization over the last 2 class days. Below was the visualization I made to make McDonalds sales make more sense at a glance. Below are the total sales, profit, and number of customers along with sales by country, costumer satisfaction and sales trends. I have found that just looking at the numbers directly usually makes more sense to me then a bunch of fancy pie charts and maps but I can see how they would be useful. It is definitely really helpful for showing off numbers to those who need to get it at a glance or did not work closely with the data. AI     AI or Artificial intelligence is a really bad name for what is essentially a bunch of statistics. For example we used it to guess who would have survived and who would have died on the Titanic. To do this we got a list of training data which is a bunch of details about people on the ship and whether or not they survived. The code takes that data and uses it to construc...
Post a Comment
Read more