Towards the reduction of sex-based stereotypes

Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to [email protected], referencing the URI of the item.Includes bibliographical references (leaves 14-18).With more females entering the workforce (U.S. Bureau of Labor Statistics, 1998), it has become of increasing importance to reduce the negative effects that sex-based stereotyping can engender. The current experiment investigates if mutual interdependence can result in a greater perception of a female partner's competence and a reduction of hostility towards women in general. Male participants worked either interdependently or independently with a female partner. Dyads were then separated and males completed a series of dependent measures prone to capture ratings of their female partner's competence and hostility and benevolence towards women in general. A marginally statistically significant effect was found supporting our primary hypothesis, that males in the mutual interdependence condition reported a greater competence rating for their specific female partner. There were no statistically significant effects found for our exploratory hypothesis that this previous effect would generalize to women in general. Past research on the reduction of race-based stereotypes, reduction of hostility between groups, and individuating processes, has suggested that mutual interdependence and positive task success between members of opposing groups attenuates hostility and stereotyping for a specific partner or group. These findings are replicated by this research

Superluminous supernovae: No threat from Eta Carinae

Recently Supernova 2006gy was noted as the most luminous ever recorded, with a total radiated energy of ~10^44 Joules. It was proposed that the progenitor may have been a massive evolved star similar to eta Carinae, which resides in our own galaxy at a distance of about 2.3 kpc. eta Carinae appears ready to detonate. Although it is too distant to pose a serious threat as a normal supernova, and given its rotation axis is unlikely to produce a Gamma-Ray Burst oriented toward the Earth, eta Carinae is about 30,000 times nearer than 2006gy, and we re-evaluate it as a potential superluminous supernova. We find that given the large ratio of emission in the optical to the X-ray, atmospheric effects are negligible. Ionization of the atmosphere and concomitant ozone depletion are unlikely to be important. Any cosmic ray effects should be spread out over ~10^4 y, and similarly unlikely to produce any serious perturbation to the biosphere. We also discuss a new possible effect of supernovae, endocrine disruption induced by blue light near the peak of the optical spectrum. This is a possibility for nearby supernovae at distances too large to be considered "dangerous" for other reasons. However, due to reddening and extinction by the interstellar medium, eta Carinae is unlikely to trigger such effects to any significant degree.Comment: 19 pages, 2 figures; Revised version as accepted for publication in Astrobiolog

Reusing Data and Metadata to Create New Metadata Through Machine-Learning & Other Programmatic Methods

Recent improvements in natural language processing (NLP) enable metadata to be created programmatically from reused original metadata or even the dataset itself. Transfer-learning applied to NLP has greatly improved performance and reduced training data requirements. In this talk, well compare machine-generated metadata to human-generated metadata and discuss characteristics of metadata and data archives that affect suitability for machine-learning reuse of metadata. Where as human-generated metadata is often populated once, populated from the perspective of data supplier, populated by many individuals with different words for the same thing, and limited in length, machine-generated metadata can be updated any number of times, generated from the perspective of any user, constrained to a standardized set of terms that can be evolved over time, and be any length required. Machine-learning generated metadata offers benefits but also additional needs in terms of version control, process transparency, human-computer interaction, and IT requirements. As a successful example, well discuss how a dataset of abstracts and associated human-tagged keywords from a standardized list of several thousand keywords were used to create a machine-learning model that predicted keyword metadata for open-source code projects on code.nasa.gov. Well also discuss a less successful example from data.nasa.gov to show how data archive architecture and characteristics of initial metadata can be strong controls on how easy it is to leverage programmatic methods to reuse metadata to create additional metadata

Junior Recital: Christopher Malloy, saxophone

This recital is presented in partial fulfillment of requirements for the degree Bachelor of Music in Performance. Mr. Malloy studies saxophone with Sam Skelton.https://digitalcommons.kennesaw.edu/musicprograms/1459/thumbnail.jp

Junior Recital: Connor Osburn, horn

This recital is presented in partial fulfillment of requirements for the degree Bachelor of Music in Performance. Mr. Osburn studies horn with Tom Witte.https://digitalcommons.kennesaw.edu/musicprograms/1306/thumbnail.jp

Evaluation of the iHEART mental health education programme on resilience and wellbeing of UK secondary school adolescents

This is an accepted manuscript of an article due to be published by Emerald in Journal of Public Mental Health on 11/01/2021, available online at: https://doi.org/10.1108/JPMH-03-2020-0019 The accepted version of the publication may differ from the final published version.Purpose There is abundant evidence of impaired mental well-being in adolescents and young adults. We present the findings of a preliminary study based on a novel structured mental health education programme – Innate Health Education and Resilience Training (iHEART) – in a cohort of secondary school adolescents in the UK. Methodology A curriculum-based 10-week programme was delivered by trained facilitators. 205 students enrolled in the study. An additional 64 participants were within an age-matched non-intervention control group. A non-randomised control mixed methodology approach was used. All students, pre- and post-programme, completed a quantitative questionnaire – the Warwick-Edinburgh Mental Well-being Survey. Qualitative measures were used to assess participants’ perceptions of changes in their resilience and mental well-being. Findings Those who received the intervention showed a small improvement in mental well-being relative to those who did not; with a similar change in resilience. Qualitative findings regarding impulse control and emotional resilience provided positive findings. Originality/Value iHEART may be a promising new intervention offering a step change in mental health education for improving resilience, mental well-being and the ability for participants to navigate psychological challenges