Based on the experiments I ran on the function, here's a description of what the function implemented by `f(x)` may be doing:

[DESCRIPTION]: The function `f(x)` seems to be measuring the association of a word with a particular concept. It returns a value between 0 and 1, where a value closer to 1 indicates a stronger association with the concept.

Here are the observations from the experiments:

- Words like "stars" and "rocket" have high scores close to 1, suggesting a strong association with a concept related to space exploration or astronomy.
- Words like "biology" and "computing" have low scores close to 0, indicating a weak association with the concept. This suggests that the function is not selective for these concepts.
- Words like "geometry" and "tent" have moderate scores, suggesting a moderate association with some concept, although it's not clear what that concept might be.
- Words like "World Cup", "one third", "innocent", and "hypothesis" have scores in the moderate range as well, suggesting some level of association with specific concepts.

Based on these observations, the function `f(x)` appears to be selectively measuring the association of words with different concepts. While it is selective for concepts related to space exploration or astronomy, it is not as selective for concepts like biology or computing. It might also exhibit some level of selectivity for other concepts, but further experimentation would be needed to determine those concepts with certainty.