Based on my prior knowledge, I can analyze the relationship between the feature "job" and the target variable "Does this client subscribe to a term deposit?". Here are some possible observations:

1. Management: Clients with a job in management might be more likely to subscribe to a term deposit because they may have a higher income and be more financially stable.

2. Technician: Clients who work as technicians might have a moderate likelihood of subscribing to a term deposit, as their income and financial stability may vary.

3. Entrepreneur: Entrepreneurs may have a lower likelihood of subscribing to a term deposit due to the potential instability of their income and financial situation.

4. Blue-collar: Clients with blue-collar jobs might have a lower likelihood of subscribing to a term deposit as their income may be less stable or lower compared to other job types.

5. Unknown: The "unknown" category for job indicates missing data or unknown occupation. Since we lack information about these clients' jobs, it is hard to predict their likelihood of subscribing to a term deposit.

6. Retired: Retired individuals might have a higher likelihood of subscribing to a term deposit as they may have more savings or be more inclined to invest their money safely.

7. Admin: Clients with administrative jobs may have a moderate likelihood of subscribing to a term deposit as their income and financial stability may vary.

8. Services: Clients working in service-related jobs might have a moderate likelihood of subscribing to a term deposit due to the variable nature of their income and financial stability.

9. Self-employed: Self-employed individuals may have a lower likelihood of subscribing to a term deposit due to the potential instability of their income and financial situation.

10. Unemployed: Clients who are unemployed may have a lower likelihood of subscribing to a term deposit due to their lack of consistent income.

11. Housemaid: Clients working as housemaids may have a lower likelihood of subscribing to a term deposit due to potentially lower income and financial stability.

12. Student: Students are less likely to subscribe to a term deposit due to being in a phase where they typically have limited income and are focused on education.

Based on the mentioned analysis, let's create the corresponding dictionary:

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

Please note that the dictionary only includes the job categories that are more likely to have a relationship with the target variable and have observed patterns.