I mean that you would have to change your model. If you removed one of the interactions, then an ODDSRATIO statement for spring_summer would show odds ratios just at levels of the other variable it still interacts with. However, it would be misleading to run two such models, each with one of the interactions dropped, just so you can generate the odds ratios you say you want. All of your inferences should result from a single model that best reflects reality. You shouldn't have two different versions of reality for the convenience of getting numbers. If the data indicate that spring_summer does interact with both variables, then the correct odds ratios are what you got initially.
... View more