Based on prior knowledge, the relationship between the "job" feature and the task of whether the client subscribes to a term deposit can be analyzed as follows:

The type of job may have an influence on whether a client subscribes to a term deposit. Certain job types might have a higher tendency to subscribe due to their income level, stability, or financial awareness. For example, management or self-employed individuals might be more likely to subscribe as they may have higher incomes and a better understanding of financial products.

On the other hand, job types such as blue-collar or unemployed individuals might have a lower tendency to subscribe. These job types often have lower incomes or more uncertain financial situations, which could lead to a lower likelihood of subscribing to a term deposit.

Based on this analysis, we can create a dictionary as requested:

```json
{
	"no": ["housemaid", "student"],  
	"yes": ["management", "technician", "entrepreneur", "blue-collar", "retired", "admin.", "services", "self-employed"]
}
```

Please note that this dictionary includes the job types that are more likely to be associated with each target class. It does not include the job types that are hard to predict, as mentioned in the task.