Based on my prior knowledge, the workclass feature can provide useful information in predicting whether a person earns more than 50000 dollars per year. Different workclass categories may indicate different levels of income and employment status.

Here is the dictionary that represents the relationship between the workclass feature and the target variable:

```json
{
    "no": ["Private", "Local-gov", "?", "Self-emp-not-inc", "State-gov", "Without-pay", "Never-worked"],
    "yes": ["Self-emp-inc", "Federal-gov"]
}
```

The "no" list includes workclass categories that are typically associated with lower incomes or unstable employment, such as "Private", "Local-gov", and so on. The "?" category indicates missing or unknown workclass values, which can also be considered as a feature for the "no" class.

The "yes" list includes workclass categories that generally suggest higher incomes or stable employment, such as "Self-emp-inc" and "Federal-gov". These categories are more likely to indicate a person earning more than 50000 dollars per year.

Note: The "Self-emp-not-inc" category is not included in the "yes" list because it falls under the "no" class. However, since the value is ambiguous and can have different interpretations, it can be excluded from both lists.