  The identification of AGN in large surveys has been hampered by seemingly
discordant classifications arising from differing diagnostic methods, usually
tracing distinct processes specific to a particular wavelength regime. However,
as shown in Yao et al. (2020), the combination of optical emission line
measurements and mid-infrared photometry can be used to optimise the
discrimination capability between AGN and star formation activity. In this
paper we test our new classification scheme by combining the existing GAMA-WISE
data with high-quality MeerKAT radio continuum data covering 8 deg$^2$ of the
GAMA G23 region. Using this sample of 1 841 galaxies (z < 0.25), we investigate
the total infrared (derived from 12$\mu$m) to radio luminosity ratio, q(TIR),
and its relationship to optical-infrared AGN and star-forming (SF)
classifications. We find that while q(TIR) is efficient at detecting AGN
activity in massive galaxies generally appearing quiescent in the infrared, it
becomes less reliable for cases where the emission from star formation in the
host galaxy is dominant. However, we find that the q(TIR) can identify up to 70
% more AGNs not discernible at optical and/or infrared wavelengths. The median
q(TIR) of our SF sample is 2.57 $\pm$ 0.23 consistent with previous local
universe estimates.
