Four deaths per mile

A poem about the labour of Chinese immigrants during the construction of the Canadian Pacific Railway.&nbsp

Season of Fires

Season of Fires is an exploration of the intersection of loss, denial, and acceptance during the 2017 wildfire season in the Okanagan Valley

Destinations: for Stella

A poem about Manila, Philippines, and Vancouver and Kelowna, BC, Canada

e-Race-sures: Resistance, Community Building, and a Pause in the Environmental Humanities and Arts

Editorial introduction to The Goose Volume 19, Issue 1 (2021)

Kung Saan Nagtatapos o Humahantong ang Ilog Boac: Isang Pag-aaral na Komparatibo ng Postkolonyal na Ekokritisismo at Eko-Kosmopolitanismo

Binabalikan ng papel ang mga alaala ng may-akda ng kanyang kabataan at ilang pagbisita sa Marinduque upang pag-aralan ang naganap na sakunang pagtagas ng lason ng minahan sa Ilog Boac dala ng mga gawang pagmimina ng Marcopper Mining Corporation. Susuriin ng papel ang mga hangganan ng postkolonyal na ekokritisismo at eko-kosmopolitanismo upang makahanap ng angkop na balangkas teoretikal na maaaring magamit para sa isang ekokritika na lumalampas sa mga hangganang pambansa at estado, upang harapin ang mga usapin ng katarungang panlipunan at pangkalikasan nang lampas pa sa pagkakakilanlang nakabatay sa lugar tungo sa kritika ng mga hangganan. Nakapaloob ang papel sa balangkas ng pag-unawa na nagmumula sa personal na karanasang diasporiko ng may-akda, partikular sa ugnayan ng Canada at Pilipinas, na hindi naman talaga nakabatay sa kolonyal na kasaysayan ang ugnayan, kundi sa ideolohiya ng globalisasyon

The Goose Picks: Race, Colonization, and Environment

Reading recommendations by The Goose team on race, colonization, and the environment

Cognitive load scale in learning formal definition of limit: A rasch model approach

Constructing proofs for the limit using the formal definition induces a high cognitive load. Common assessment tools, like cognitive load scales, lack specificity for the concept of limits. This research aims to validate an instrument tailored to assess cognitive load in students focused on the formal definition of limits, addressing the need for diverse strategies in education. The research employs a quantitative survey design with a Rasch model approach, utilizing a data collection instrument in the form of a questionnaire. Subsequently, the data are analyzed by focusing on three aspects: (1) item fit to the Rasch model, (2) unidimensionality, and (3) rating scale. A total of 315 students from three private universities in Banten participated as research respondents. The findings of this study affirm the validity of the cognitive load scale centered on the formal definition of limit, meeting the stringent standards set by Rasch modeling. Additionally, the results of the study provide evidence of the scale’s adherence to the monotonic principle of the Rasch model. These outcomes contribute to a comprehensive understanding of cognitive load in the context of learning formal definition of limit, providing a solid foundation for instructional design and assessment strategies

Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior

Risk assessment of suicidal behavior is a time-consuming but notoriously inaccurate activity for mental health services globally. In the last 50 years a large number of tools have been designed for suicide risk assessment, and tested in a wide variety of populations, but studies show that these tools suffer from low positive predictive values. More recently, advances in research fields such as machine learning and natural language processing applied on large datasets have shown promising results for health care, and may enable an important shift in advancing precision medicine. In this conceptual review, we discuss established risk assessment tools and examples of novel data-driven approaches that have been used for identification of suicidal behavior and risk. We provide a perspective on the strengths and weaknesses of these applications to mental health-related data, and suggest research directions to enable improvement in clinical practice

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy