Based on the provided information, the relationship between the workclass feature and the target variable (earning more than 50000 dollars per year) cannot be determined. However, we can still analyze the distribution of workclass values for each target class. 

To do this, we can examine the values of the workclass feature for individuals who earn more than 50000 dollars per year (target class: "yes") and those who do not (target class: "no").

Here is the dictionary with the distribution of workclass values for each target class:

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

Note that the values "Without-pay" and "Never-worked" are included in the "no" category because it is highly unlikely for individuals in these workclass categories to earn more than 50000 dollars per year.