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Nevertheless, I am puzzled by this idea from many of you, that most things can be quantified and thereby raising quality of photography.
My knowledge tells me that quality in art work can not be measured and quantified like you suggest in this detailed manner. Art is not math.
If I see an art work, photograph or whatever, I cannot always explain why I like it, I just do, and maybe after a while when I watched it many times, maybe some words come to my mind.
I guess it is the same with the curators that they don't always are able to articulate why they think an image is good.
So what I am saying, is that it is not a good idea to try to quantify art work. It is a matter of taste and preferences, I think. There are no short cuts to learn how to take great photographs in master class. You may always study the pictures of true masters of photography and get inspired, this would be a better way to learn I think than try to scrutinize and quantify photographs posted to 1x.
Even if the curators had time to comment each photo that was posted for curation and published, what help would it be for other photographers to develop their own style? If you want to copy what others do, you would learn a lot, but we don't want to do that, do we ?
Mette
Hello Mette,
I realize I am going a little bit off-topic now, but you raise some very good questions, so I'll do my best to answer:
Mathematics and art have a very close relationship. The relationship may not always be obvious, but it is there. In general it is easier to see the relationship for mathematicians than it is for artists.
As an example, M.C. Eschers paintings have an obvious mathematical basis. Here is a short video clip you might find interesting: https://www.youtube.com/watch?v=Kcc56fRtrKU
In photography, we do a lot of things that can be expressed mathematically. for example, there are mathematical relationships between the light in a scene, sensor properties, exposure time, aperture, and ISO.
When we postprocess a photo in Photoshop, everything we do is done by applying mathematical trransformations to the picture.
Rules of composition, like the golden ratio, and the rule of thirds, can be expressed mathematically.
So art can be expressed with mathematics. Mathematics has esthetic ideals, mathematical relationships can be "beautiful" or "elegant", so you can view mathematics itself as a form of art.
However, whether photography can be expressed mathematically or not, does not really matter.
You can still apply mathematics in various ways to see if 1x is achieving its goals or not. And, we can still apply mathematics to improve the curation process.
Here is an example of a thing that can be done to measure the curation process: A stated goal of 1x is to increase the diversity of the photos on the site. It is difficult to measure that directly, but we can easily find a proxy variable that gives us an indication of whether the curation process increases diversity or not:
When we upload photos we tag them with keywords used by the 1x search engine.
It would be easy to analyze those keywords and construct a frequency table for all uploaded photos. It would be just as easy to construct a keyword frequency table for curated photos.
Then, one can compare the frequency tables to see if the frequency distributions are different.
If the curators are working towards diversity, the frequency distribution curve for gallery photos will be less steep than the curve for uploaded photos.
If the curators are reducing diversity, the curve for gallery photos will be steeper than the curve for uploaded photos.
If the diversity of curated photos is similar to the diversity of uploaded photos, the curves will have similar shape.
A single measure won't tell the full story, but a system of measures like this can give a pretty good picture of what is happening on the site.
If one starts by building a map of the goals and objectives of 1x, then links the goals to measurements, either direct, or by proxy, and finally to behaviors designed to increase or reduce measures, one can build a pretty accurate picture of whether 1x is on track or not.
What does not work, is relying exclusively on human judgement. The human brain is notoriously unreliable, because it has built-in biases towards certain types of results. Our perception of reality is often very different from reality itself, because our brains take shortcuts when thinking.
Here is a list of known biases of the human brain: https://en.wikipedia.org/wiki/List_of_cognitive_biases
It is a wonder we can get anything done. :-)
What Tom Baetzen, J-A Chazal, and I talked about, is just a way of reducing the errors we are all prone to make, because of the way our brains work.
It is fairly easy to do. The difficult bit is usually getting people enthused about giving it a try. :-)