Despite recent advances, gender inequality persists in many scientific fields, including medicine. Thus far, no study has extensively analyzed the gender composition of contemporary researchers in the oncology field. We examined 40 oncological journals (Web of Science, ONCOLOGY category) with different impact factors (Q1-Q4) and extracted all the articles and reviews published during 2015-17, in order to identify the gender of their authors. Our data showed that women represent about 38% of all the authorships, both in articles and reviews. In relative terms, women are overrepresented as first authors of articles (43.8%), and clearly underrepresented as last or senior authors (<30%). This double pattern, also observed in other medical fields, suggests that age, or more specifically, seniority, may play some role in the gender composition of cancer researchers. Examining the pattern of collaboration, an interesting finding was observed: the articles signed by a woman in the first or in the last position roughly showed gender parity in the byline. We found also some differences in the content of the articles depending on which gender occupies the first and last positions of the authorships.

Despite recent advances, gender inequality persists in many scientific fields, and Psychology is not alien to this phenomenon. This study presents the evolution of gender composition in American Psychological Association publications in the past six decades, from 1963 to 2016. Longitudinal analysis revealed an important change: women rose from a tiny 12% to 14% in the 1960s to almost gender parity in the last decade (2010s). The pattern of collaboration (coauthorship) shows that women tend to be slightly overrepresented as first author and underrepresented as the last or senior author. In the last two decades, women outnumber men as “new” American Psychological Association authors (authors who publish for the first time in an American Psychological Association journal). These features and the fact that men’s publications tend to encompass a much wider range of years suggest that age may play a role in the gender composition of American Psychological Association contributors.

To a certain degree, human listeners can perceive a speaker’s body size from their voice. The speaker’s voice pitch or fundamental frequency (Fo) and the vocal formant frequencies are the voice parameters that have been most intensively studied in past body size perception research (particularly for body height). Artificially lowering the Fo of isolated vowels from male speakers improved listeners’ accuracy of binary (i.e., tall vs not tall) body height perceptions. This has been explained by the theory that a denser harmonic spectrum provided by a low pitch improved the perceptual resolution of formants that aid formant-based size assessments. In the present study, we extended this research using connected speech (i.e., words and sentences) pronounced by speakers of both sexes. Unexpectedly, we found that raising Fo, not lowering it, increased the participants’ perceptual performance in two binary discrimination tasks of body size. We explain our new finding in the temporal domain by the dynamic and time-varying acoustic properties of connected speech. Increased Fo might increase the sampling density of sound wave acoustic cycles and provide more detailed information, such as higher resolution, on the envelope shape.

S ome evidence suggests that lay persons are able to perceive sexual orientation from face stimuli above the chance level. A morphometric study of 390 heterosexual and homosexual Canadian people of both sexes reported that facial structure differed depending on the sexual orientation. Gay and heterosexual men differed on three metrics as the most robust multivariate predictors, and lesbian and heterosexual women differed on four metrics. A later study verified the perceptual validity of these multivariate predictors using artificial three-dimensional face models created by manipulating the key parameters. Nevertheless, there is evidence of important processing differences between the perception of real faces and the perception of artificial computer-generated faces. The present study which composed of two experiments tested the robustness of the previous findings and extended the research by experimentally manipulating the facial features in face models created from photographs of real people. Participants of the Experiment 1 achieved an overall accuracy (0.67) significantly above the chance level (0.50) in a binary hetero/homosexual judgement task, with some important differences between male and female judgements. On the other hand, results of the Experiment 2 showed that participants rated the apparent sexual orientation of series of face models created from natural photographs as a continuous linear function of the multivariate predictors. Theoretical implications are discussed.

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