The function f(x) implemented in ./temp1/function.py appears to assign higher values to words associated with abstract concepts or social issues, such as "freedom" (0.1755), "race" (0.2095), and "happiness" (0.0272). The function also assigns relatively higher values to words related to geographical locations or physical phenomena like "London" (0.0759) and "earthquake" (0.0226). Meanwhile, lower values are assigned to concrete objects or animals such as "apple" (0.0016), "dog" (0.0009), and "car" (0.0010). Thus, the function appears to be selective for both abstract concepts/social issues and geographical/physical phenomena.