3 research outputs found

    Music Therapists and Work: Experiences of Occupational Oppression in the Profession of Music Therapy

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    Occupational oppression is a system of invisible barriers created by those in power that reduces the professional’s ability to perform work at the highest level. Barriers result from a combination of beliefs related to the value or worth of set occupations and their members. Occupational oppression is based on the assumption that certain professions are inherently superior or inferior. Barriers result from a combination of beliefs related to the value or worth of set occupations and their members. Oppressive experiences have been described within music therapy literature on burnout. However, the phenomenon of occupational oppression has not been explored within the profession of music therapy. The purpose of this mixed-method study was to establish and describe the phenomenon of occupational oppression within the profession of music therapy. Experiences of oppression were described using Young’s five categories of oppression – marginalization, cultural imperialism, exploitation, violence, and powerlessness (1990). Participants, 634 currently practicing board-certified music therapists, completed an online survey that was comprised of multiple choice, Likert-scale, and short-answer questions. Results support the existence of occupational oppression within the profession of music therapy. A majority of participants identified as having experienced oppression within their workplaces (56%) and identified the profession as being oppressed (76.6%). All of Young’s five categories of oppression (1990) were reported within participants’ responses. Forms of cultural imperialism were described most frequently, followed by marginalization, exploitation, powerlessness, and violence. Descriptions of experienced oppression occurred both in respondents who did and did not identify as having experienced oppression, suggesting that music therapists may have difficulty labeling oppressive experiences. Acknowledging occupational oppression within the profession of music therapy may be a critical first step towards developing solutions to improve workplace experiences for music therapists

    Aspect splits without ergativity

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    This paper looks at two different aspect splits in Neo-Aramaic languages that are unusual in that they do not involve any ergativity. Instead, these splits are characterized by agreement reversal, a pattern in which the function of agreement markers switches between aspects, though the alignment of agreement remains consistently nominative-accusative. Some Neo-Aramaic languages have complete agreement reversal, affecting both subject and object agreement (Khan 2002, 2008; Coghill 2003). In addition to this, we describe a different system, found in Senaya, which we call partial agreement reversal. In Senaya, the reversal only affects the marker of the perfective subject, which marks objects in the imperfective. We show that a unifying property of the systems that we discuss is that there is additional agreement potential in the imperfective. We develop an account in which these splits arise because of an aspectual predicate in the imperfective that introduces an additional φ-probe. This proposal provides support for the view that aspect splits are the result of an additional predicate in nonperfective aspects (Laka 2006; Coon 2010; Coon and Preminger 2012), because it allows for the apparently disparate phenomena of split ergativity and agreement reversal to be given a unified treatment

    Using Phylogenetically-Informed Annotation (PIA) to search for light-interacting Genes in Transcriptomes from Non-Model Organisms

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    Background: Tools for high throughput sequencing and de novo assembly make the analysis of transcriptomes (i.e. the suite of genes expressed in a tissue) feasible for almost any organism. Yet a challenge for biologists is that it can be difficult to assign identities to gene sequences, especially from non-model organisms. Phylogenetic analyses are one useful method for assigning identities to these sequences, but such methods tend to be time-consuming because of the need to re-calculate trees for every gene of interest and each time a new data set is analyzed. In response, we employed existing tools for phylogenetic analysis to produce a computationally efficient, tree-based approach for annotating transcriptomes or new genomes that we term Phylogenetically-Informed Annotation (PIA), which places uncharacterized genes into pre-calculated phylogenies of gene families. Results: We generated maximum likelihood trees for 109 genes from a Light Interaction Toolkit (LIT), a collection of genes that underlie the function or development of light-interacting structures in metazoans. To do so, we searched protein sequences predicted from 29 fully-sequenced genomes and built trees using tools for phylogenetic analysis in the Osiris package of Galaxy (an open-source workflow management system). Next, to rapidly annotate transcriptomes from organisms that lack sequenced genomes, we repurposed a maximum likelihood-based Evolutionary Placement Algorithm (implemented in RAxML) to place sequences of potential LIT genes on to our pre-calculated gene trees. Finally, we implemented PIA in Galaxy and used it to search for LIT genes in 28 newly-sequenced transcriptomes from the light-interacting tissues of a range of cephalopod mollusks, arthropods, and cubozoan cnidarians. Our new trees for LIT genes are available on the Bitbucket public repository (http://bitbucket.org/osiris_phylogenetics/pia/) and we demonstrate PIA on a publicly-accessible web server (http://galaxy-dev.cnsi.ucsb.edu/pia/). Conclusions: Our new trees for LIT genes will be a valuable resource for researchers studying the evolution of eyes or other light-interacting structures. We also introduce PIA, a high throughput method for using phylogenetic relationships to identify LIT genes in transcriptomes from non-model organisms. With simple modifications, our methods may be used to search for different sets of genes or to annotate data sets from taxa outside of Metazoa
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