Based on the output values returned by the function for different word inputs, here is a description of the behavior of the function implemented in `function.py`:

[DESCRIPTION]: The function seems to be selective for concepts related to emotions and funeral/burial practices. It assigns higher values closer to 1 for words that are associated with mourning, burial, and tombstones. Words such as "mourning" (0.7090), "burial" (0.9979), and "tombstone" (0.9950) receive significantly higher values indicating a strong association with these concepts. On the other hand, the function assigns lower values closer to 0 for words that are unrelated to these concepts. Words like "highway" (0.0007), "temperature" (0.0003), and "swimming" (0.0004) receive very low values, suggesting little to no association with mourning or burial. However, it's interesting to note that some words that might be considered abstract or less directly associated with mourning, such as "feudalism" (0.0016) and "series" (0.0021), still receive somewhat higher values compared to the unrelated words. Overall, the function appears to prioritize associations related to mourning, burial, and tombstones while also considering more subtle connections with abstract concepts.