title: "This is not a work of fiction": Examining Robin Hyde's Passport to Hell as Creative Nonfiction

authors: Holder, Marissa

subjects: Robin Hyde

abstract: In 1936, journalist Robin Hyde prepared the final copy of a biographical novel that blended fact and fiction in order to capture the experience of the disreputable World War I veteran James Douglas Stark. The careful intertwining of research and creativity in Passport to Hell is redolent of present-day creative nonfiction and therefore renders Hyde a pioneer of the genre. However, creative nonfiction was not academically acknowledged until years after Hyde’s death, so her literary experimentation triggered a critical response from the public.
This thesis traces back the origins of creative nonfiction so as to illuminate the uncertainty which continues to permeate the genre. Academic guidelines of creative nonfiction are then used as a platform to analyse Hyde’s employment of fictional techniques in order to illuminate the ingenuity of her creative writing. The criticism Hyde faced when publishing Passport to Hell is outlined alongside her insightful riposte which contributes to our understanding of creative nonfiction today. 
The creative component of my thesis is comprised of the first three chapters of a novelisation of the life of Ettie Rout, a sexual health campaigner who challenged local and international governments in order to improve the lives of soldiers during World War I. My interaction with creative nonfiction confirmed that even today, many authors struggle to operate within the confines of a single genre due to the continued debate around the level of fiction deemed appropriate in creative nonfiction. However, the fluidity Hyde exercises in Passport to Hell inspired a sense of freedom in my treatment of Rout, and therefore emboldened my commitment to focus more heavily on the intimate portrayal of her character rather than confining my work to the boundaries of genre.

text: "This is not a work of fiction": Examining Robin Hyde's Passport to Hell as Creative Nonfiction In 1936, journalist Robin Hyde prepared the final copy of a biographical novel that blended fact and fiction in order to capture the experience of the disreputable World War I veteran James Douglas Stark. The careful intertwining of research and creativity in Passport to Hell is redolent of present-day creative nonfiction and therefore renders Hyde a pioneer of the genre. However, creative nonfiction was not academically acknowledged until years after Hyde’s death, so her literary experimentation triggered a critical response from the public.
This thesis traces back the origins of creative nonfiction so as to illuminate the uncertainty which continues to permeate the genre. Academic guidelines of creative nonfiction are then used as a platform to analyse Hyde’s employment of fictional techniques in order to illuminate the ingenuity of her creative writing. The criticism Hyde faced when publishing Passport to Hell is outlined alongside her insightful riposte which contributes to our understanding of creative nonfiction today. 
The creative component of my thesis is comprised of the first three chapters of a novelisation of the life of Ettie Rout, a sexual health campaigner who challenged local and international governments in order to improve the lives of soldiers during World War I. My interaction with creative nonfiction confirmed that even today, many authors struggle to operate within the confines of a single genre due to the continued debate around the level of fiction deemed appropriate in creative nonfiction. However, the fluidity Hyde exercises in Passport to Hell inspired a sense of freedom in my treatment of Rout, and therefore emboldened my commitment to focus more heavily on the intimate portrayal of her character rather than confining my work to the boundaries of genre.

year: 2017

title: A decision support system for predicting the complications of diabetes mellitus: A design science research approach

authors: Madurapperumage, Anuradha

abstract: Health information systems (HIS) serve as the cornerstone of modern healthcare, seamlessly
weaving data into actionable insights and empowering professionals to make informed
decisions and elevate patient care. Decision support systems became a prominent research
area in the discipline of HIS, where clinical decision support systems (CDSSs) with the ability
to diagnose and prognosis of disease are recognised as the most common and beneficial
information systems. Moreover, the high prevalence and adverse effects of diabetes all over
the globe evidently make it vital to predict diabetes and its complications.
The current study aims to resolve an issue at Te Whatu Ora, by generating a CDSS which can
predict the complications of diabetes mellitus (CoDM) while answering the knowledge gap.
Although a rich data set of diabetes patients’ is maintained at Te Whatu Ora, their
involvement in decision-making is unsatisfactory. This study created a CDSS to resolve the
issue at Te Whatu Ora while considering two perspectives of the question: design and data
analysis. The system design followed design science research methodologies (DSRM) while
selecting suitable techniques in the steps of the empirical cycle to confirm their applicability
in the domain. The data analysis perspective of the study focused on survival analysis
methods due to their appropriateness in fulfilling the identified research gaps.
The created CDSS is the primary outcome of the research, which resolves the real-world issue
while addressing the recognised research gaps. The solution's design perspective confirms
the applicability of adopting design science research approaches in the context of a
systematic solution-design process. The data analytics perspective confirms the
appropriateness of survival techniques in the domain while validating the system’s
performance.
The outcome of this research has significant academical, and managerial implications. The
implemented CDSS is capable of providing a chronological risk percentage for 10 CoDM in a
cohort of New Zealand. The systematic procedure adopted in the research contributes to the
existing knowledge gaps while answering the design, implementation, and evaluation stages.
The managerial implications of the study expand through policy-makers, resource-allocators,
iii
and healthcare administrators to doctors, nurses, and patients. The predicted risk of CoDM
may be beneficial in managing the patients by issuing early warnings, starting treatment
plans, conducting diagnosis tests, recommending dietary/exercise routines and more from
the perspective of patient care. The visualisation of the statistical details and the survival
curves in the system may assist in managing diabetes data repositories efficiently.
This study creates a cohort-specific risk prediction model based on the New Zealand cohort.
The interoperability challenges in the CDSS could occur due to the variety of practices in real
life. Future research studies in this domain can concentrate on increasing the accuracy of the
models with more features of a rich dataset while protecting the patents’ confidentiality.
Additionally, the cohort specificity of the CDSS can be avoided with the engagement of a
global dataset.

text: A decision support system for predicting the complications of diabetes mellitus: A design science research approach Health information systems (HIS) serve as the cornerstone of modern healthcare, seamlessly
weaving data into actionable insights and empowering professionals to make informed
decisions and elevate patient care. Decision support systems became a prominent research
area in the discipline of HIS, where clinical decision support systems (CDSSs) with the ability
to diagnose and prognosis of disease are recognised as the most common and beneficial
information systems. Moreover, the high prevalence and adverse effects of diabetes all over
the globe evidently make it vital to predict diabetes and its complications.
The current study aims to resolve an issue at Te Whatu Ora, by generating a CDSS which can
predict the complications of diabetes mellitus (CoDM) while answering the knowledge gap.
Although a rich data set of diabetes patients’ is maintained at Te Whatu Ora, their
involvement in decision-making is unsatisfactory. This study created a CDSS to resolve the
issue at Te Whatu Ora while considering two perspectives of the question: design and data
analysis. The system design followed design science research methodologies (DSRM) while
selecting suitable techniques in the steps of the empirical cycle to confirm their applicability
in the domain. The data analysis perspective of the study focused on survival analysis
methods due to their appropriateness in fulfilling the identified research gaps.
The created CDSS is the primary outcome of the research, which resolves the real-world issue
while addressing the recognised research gaps. The solution's design perspective confirms
the applicability of adopting design science research approaches in the context of a
systematic solution-design process. The data analytics perspective confirms the
appropriateness of survival techniques in the domain while validating the system’s
performance.
The outcome of this research has significant academical, and managerial implications. The
implemented CDSS is capable of providing a chronological risk percentage for 10 CoDM in a
cohort of New Zealand. The systematic procedure adopted in the research contributes to the
existing knowledge gaps while answering the design, implementation, and evaluation stages.
The managerial implications of the study expand through policy-makers, resource-allocators,
iii
and healthcare administrators to doctors, nurses, and patients. The predicted risk of CoDM
may be beneficial in managing the patients by issuing early warnings, starting treatment
plans, conducting diagnosis tests, recommending dietary/exercise routines and more from
the perspective of patient care. The visualisation of the statistical details and the survival
curves in the system may assist in managing diabetes data repositories efficiently.
This study creates a cohort-specific risk prediction model based on the New Zealand cohort.
The interoperability challenges in the CDSS could occur due to the variety of practices in real
life. Future research studies in this domain can concentrate on increasing the accuracy of the
models with more features of a rich dataset while protecting the patents’ confidentiality.
Additionally, the cohort specificity of the CDSS can be avoided with the engagement of a
global dataset.

year: 2024

title: An indigenous model of career satisfaction: Exploring the role of workplace cultural wellbeing

authors: Haar, Jarrod M.

subjects: career satisfaction

abstract: Despite career satisfaction models being well established, little is understood about the career satisfaction of indigenous employees. Using a sample of 172 Maori employees, the indigenous people of New Zealand, we tested a career satisfaction model with a cultural wellbeing factor over and above established factors of human capital, sociodemographic, individual differences and organizational sponsorship. This new measure workplace cultural wellbeing was found to significantly relate to career satisfaction, accounting for twenty-three percent of the variance over and above the established factors which highlights its importance for indigenous workers. Furthermore, due to collectivistic orientations amongst Maori, collectivism was tested as a potential moderator and found to significantly interact with workplace cultural wellbeing, showing that Maori respondents reported the greatest career satisfaction when workplace cultural wellbeing was high, irrespective of collectivism orientation. This paper offers an extended model for exploring career satisfaction of indigenous workers.

text: An indigenous model of career satisfaction: Exploring the role of workplace cultural wellbeing Despite career satisfaction models being well established, little is understood about the career satisfaction of indigenous employees. Using a sample of 172 Maori employees, the indigenous people of New Zealand, we tested a career satisfaction model with a cultural wellbeing factor over and above established factors of human capital, sociodemographic, individual differences and organizational sponsorship. This new measure workplace cultural wellbeing was found to significantly relate to career satisfaction, accounting for twenty-three percent of the variance over and above the established factors which highlights its importance for indigenous workers. Furthermore, due to collectivistic orientations amongst Maori, collectivism was tested as a potential moderator and found to significantly interact with workplace cultural wellbeing, showing that Maori respondents reported the greatest career satisfaction when workplace cultural wellbeing was high, irrespective of collectivism orientation. This paper offers an extended model for exploring career satisfaction of indigenous workers.

year: 2013