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Record W6944444929 · doi:10.18130/m3cd-dg29

Longitudinal Insights for People Living with Type 1 Diabetes; Ethical Dilemma of Euthanasia

2025· article· en· W6944444929 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLibra · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsGlycemicDiabetes managementType 1 diabetesDilemmaDiabetes mellitusInsulinBlood glucose monitoringControl (management)Raw data

Abstract

fetched live from OpenAlex

Technical Project Report Type 1 diabetes (T1D) is a chronic autoimmune condition where the immune system attacks and destroys insulin-producing beta cells in the pancreas. Demanding strict management of blood glucose and insulin levels, patients use devices such as continuous glucose monitors (CGMs), insulin pumps, and other related technologies. Despite the advances in these tools, the complexity of diabetes makes the fragmented data hard to interpret for an average clinician or patient, especially over extended time periods. My capstone project enhances the Tidepool platform, a non-profit and open-source diabetes data management tool, by integrating new features that transform raw data into actionable insights. In order to achieve a particular goal, two specific aims were set. The first aim is to develop an algorithm that identifies critical fluctuations in glucose and insulin levels on daily and weekly scales. This algorithm uses patients’ CGM data to detect and visualize daily and weekly variations in diabetes device data. While highlighting critical times when patients should be more vigilant, the algorithm also generates targeted response prompts based on the identified times and guides the patient on how to act accordingly. The second aim is developing a 5-minute summary feature that would translate a patient's monthly data into a prioritized, personalized visual. This includes analysis of behavioral factors affecting glycemic control and specific recommendations for improvement. The goal is to equip patients with a better understanding of how their habits influence their diabetes management and help clinician make informed, individualized care decisions for their patients, especially in areas where access to Certified Diabetes Care and Education Specialists (CDCES) isn’t attainable. By leveraging data integration, algorithms, and user-friendly visualization, these enhancements to Tidepool will undoubtfully encourage better disease management, improve treatment, and lead to better clinical outcomes. There is hope of significant advancement in accessibility and effectiveness of diabetes care for everyone with the work being done in this project. STS Research Project Euthanasia, the deliberate act of ending a person’s life to relieve suffering, remains one of the most ethically and legally controversial practices in modern medicine. This paper explores the complex history, evolving definitions, and moral debates surrounding euthanasia, tracing its roots from Ancient Greek and Roman acceptance to its condemnation under early Christian doctrine. The discussion transitions into the modern understanding of euthanasia, emphasizing Samuel Williams' 19th-century proposal to legalize it and its lasting impact on the discourse. A focal point of the paper is Jack Kevorkian, a pathologist whose publicized involvement in over 100 assisted suicides, particularly the videotaped death of ALS patient Thomas Youk, ignited national debate and legal repercussions, ultimately influencing public and legal perspectives on end-of-life autonomy. The paper also examines Canada's Medical Assistance in Dying (MAID) program, highlighting growing concerns that financial hardship and lack of adequate support systems may coerce vulnerable individuals into choosing death. Ethical dilemmas, like the subjective nature of pain, potential for abuse, and the role of social support in end-of-life decisions, are carefully analyzed to offer clear understanding of both sides of euthanasia. Since I purely used a research approach, I focused on making sure the sources used offer an accurate narrative; this meant using scholarly articles, historical texts, and legal documents. Rather than advocating a specific stance myself, I encourage readers to reflect on the multifaceted nature of euthanasia and form their own ethical conclusions. How are these related? Although both topics don’t seem directly related, they share values that I find critically important. With their distinct focus and methodology, the two projects are still connected as they address systemic inequities, advocate for human dignity, and explore how medical technologies and data influence can seriously influence healthcare decisions. My technical project seeks to empower individuals with Type 1 diabetes by translating complex CGM data into meaningful insights that can guide patients and clinicians in managing this condition. By enhancing the Tidepool platform, the project presents a clear prioritization of patient autonomy and patient agency, allowing these individuals to be able to make informed decisions, even when they don’t have specialized support readily available. Similarly, my STS project on euthanasia investigates how and why individuals exercise autonomy when in comes to life and death, with an emphasis on how medical systems and societal structures influence choices. Together, these projects highlight ethical and practical intersections of technology and healthcare. Whether through tools to support chronic disease management or critical analysis of euthanasia laws and ethics, I show how the societal and systematic part of medicine can significantly enhance or constrain quality of life. With optimism, I believe these projects advocate for a more empathetic and user-centered approach to healthcare that respects individual needs while addressing broader systemic challenges.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.314
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it