This qualitative study analyzes the definitions of manhood provided by a US sample of 36 adult, working class Latinos who identify as feminist, and have attended institutions of higher education. Using an intersectional framework, we analyze in-depth interviews and address the research questions "To what extent did participants identify with their gender, race, ethnicity, sexuality, and class background? How did participants subjectively define what it means to be a man?". Results indicate that participants identified with their significant social groups to varying degrees. Manhood was defined in relational, ethical, and counter-hegemonic ways. Our discussion examines the way participants wove in and out of discourses related to hegemonic notions of manhood deemed as positive, while simultaneously rejecting aspects of hegemonic masculinity.

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SUMMARYConventional acoustic least-squares migration inverts for a reflectivity image that best matches the amplitudes of the observed data. However, for field data applications, it is not easy to match the recorded amplitudes because of the viscoelastic nature of the earth and inaccuracies in the estimation of source signature and strength at different shot locations. To relax the requirement for strong amplitude matching of least-squares migration, we use a normalized cross-correlation objective function that is only sensitive to the similarity between the predicted and the observed data. Such a normalized cross-correlation objective function is also equivalent to a time-domain phase inversion method where the main emphasis is only on matching the phase of the data rather than the amplitude. Numerical tests on synthetic and field data show that such an objective function can be used as an alternative to visco-acoustic least-squares reverse time migration (Q p -LSRTM) when there is strong attenuation in the subsurface and the estimation of the attenuation parameter Q p is insufficiently accurate.

Imaging seismic data with an erroneous migration velocity can lead to defocused migration images. To mitigate this problem, we first choose a reference reflector whose topography is well-known from the well logs, for example. Reflections from this reference layer are correlated with the traces associated with reflections from deeper interfaces to get crosscorrelograms. Interferometric least-squares migration (ILSM) is then used to get the migration image that maximizes the crosscorrelation between the observed and the predicted crosscorrelograms. Deeper reference reflectors are used to image deeper parts of the subsurface with a greater accuracy. Results on synthetic and field data show that defocusing caused by velocity errors is largely suppressed by ILSM. We have also determined that ILSM can be used for 4D surveys in which environmental conditions and acquisition parameters are significantly different from one survey to the next. The limitations of ILSM are that it requires prior knowledge of a reference reflector in the subsurface and the velocity model below the reference reflector should be accurate.