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Ordered Logit Regression Interaction Term

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I am using ordered logit regression with interaction term for my dissertation, however I am new at this and would like some help interpreting the results.
My results are from a survey.
My dependent variable is DGoodIdea 9B, which is the change in belief about whether it is a good idea, where 1 is negative change, 2 is no change and 3 is positive change.
Frame is 0,1 where 0 is they received the loss frame and 1 is they received the gain frame.
LengthLONG is 0,1 where 0 is working for a short time at the company and 1 is working for a long time at the company.
Gender is 0,1 where 0 is male and 1 is female.

My hypothesis: the longer the people have been with their current company, the less susceptible they are to the frame changing their minds.

I need help on how to interpret the two significant results? Thank you!

:
 ologit DGoodIdea9B i.Frame#i. LengthLONG i.Gender, or

Iteration 0:   log likelihood = -565.18388  
Iteration 1:   log likelihood = -559.38126  
Iteration 2:   log likelihood = -559.36882  
Iteration 3:   log likelihood = -559.36882  

Ordered logistic regression                       Number of obs   =        564
                                                  LR chi2(4)      =      11.63
                                                  Prob > chi2     =     0.0203
Log likelihood = -559.36882                       Pseudo R2       =     0.0103

----------------------------------------------------------------------------------
     DGoodIdea9B | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
Frame#LengthLONG |
            0 1  |   1.345841   .3044854     1.31   0.189     .8638065    2.096868
            1 0  |   2.049425   .5006418     2.94   0.003     1.269689    3.308012
            1 1  |   1.769977   .4059233     2.49   0.013     1.129158    2.774474
                 |
        1.Gender |   1.181873    .192872     1.02   0.306     .8583451    1.627346
-----------------+----------------------------------------------------------------
           /cut1 |   -1.26181   .1966678                     -1.647271   -.8763479
           /cut2 |   1.115826   .1940876                      .7354211     1.49623
----------------------------------------------------------------------------------

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