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Raw, confessional, and often messy, Terrarium continues Matthew Walsh's exploration of Queer identity and desire against the lonely highs and lows of depression and addiction. In this new collection, Walsh begins where their debut collection, These are not the potatoes of my youth, left off. Writing in their trademark conversational style, Walsh wanders from Toronto parkettes "with remnants of magnolia leaves" to California, "a long/black cocktail dress the night lights/amethyst and citrine against the arm/muscle of the sea," their voice intimate and exposed, a whisper between friends or lovers. And then, when they ruminate on influences and themes as diverse as the poetry of Frank O'Hara and Gwendolyn MacEwen, the vagaries of Instagram, and the reimagination of Miss Havisham in a Toronto bathhouse, they offer readers the opportunity to think deeply or laugh loudly, reaching out to close the gap between us.
The purpose of training and education in the United States Department of the Air Force (DAF) is to develop and sustain mission-critical knowledge, skills, and abilities (KSAs) among airmen, guardians, and civilians. The DAF must deliver effective training and education to fully use its human capital, provide warfighting assets to combatant commanders, and maintain asymmetric advantage over competitors. Yet training and education is costly. A recent budget request included more than $2 billion for training and education, and recent guidance has highlighted that the U.S. Air Force must transform all facets of training and education to field a highly capable force in an affordable manner. This report focuses on computational cognitive models, a class of training technologies with transformative potential. Computational cognitive models emulate psychological processes like knowledge acquisition and retention. These models have been used to develop empirically grounded training curricula and deliver personalized training in diverse domains. The primary benefits of using these models to deliver personalized training are enhanced learning gains and reduced training time. This report explores the feasibility of applying computational cognitive models to the acquisition and sustainment of mission-critical KSAs, with emphasis on second-language learning. The authors affirm that cognitive models can be integrated with training curricula in a variety of ways, and each of these potential courses of action (COAs) presents different levels of benefits along with different technical and logistical challenges.
To weigh options in managing military personnel costs, the U.S. Air Force explores trade-offs in a workforce futures policy game that simulates the monetary and nonmonetary effects of workforce and personnel policies in real time.
To aid the Air Force Transformational Capabilities Office, the authors of the report developed a data science tool to extract information from free-text descriptions. They demonstrate the tool and foresight methods in three case studies.
Since 2000, spending on military personnel (MILPERS) has grown at an average annual rate of 3.3 percent to approximately $36 billion in 2021. This outpaced growth in prices in the overall economy, which averaged 1.9 percent per year for the same period. To ensure a ready workforce without undercutting modernization efforts, the U.S. Department of the Air Force (DAF) must explore options to maximize MILPERS affordability. At the same time, it must consider the nonmonetary trade-offs and risks that these options entail. A new analytic framework allows users to view savings, trade-offs, and risks of different solution options alongside one another.
The complex choreography of family, the anxiety of individuality, and the ambiguous histories of stories erased, forgotten, and suppressed.
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