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Record W3215251065 · doi:10.1353/nib.2021.0046

My Wedding Day

2021· article· en· W3215251065 on OpenAlexaboutno aff
Syrena Oswald

Bibliographic record

VenueNarrative Inquiry in Bioethics · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsCourageHistoryLawVisual artsArt historyArtPolitical science

Abstract

fetched live from OpenAlex

My Wedding Day Syrena Oswald Canada I heard the whisper of my name as I stood at the edge of the bridge, gathering up all my courage and strength to jump. After hearing my name repeatedly, I finally yelled with my eyes shut, "Leave me alone!" I kept my eyes closed, spread my arms out like Jesus on the cross, and jumped over 120 feet into the cold river water. Once I hit the water, I felt my body surge with a powerful rush, and as I sank to the bottom, I heard a faint voice telling me to rise. As I came up to the surface, I gasped for air and began to feel panicked. Again, this same peaceful voice told me to lie back and remain calm. And as I floated on the river's surface, I felt the vibrant heat of the sun shining down upon me and felt a peace I had never felt before. Within minutes I felt the tug of someone grasping at my arm, and they began pulling me towards the shore. Once we got to the shore, I proceeded to tear off all my clothes and stood at the water's edge naked and in shock. After a few minutes, someone wrapped a blanket around me, and then I began to run up to the vehicles calling out my love's name, pulling at the door handles, wondering why I could not find him. My goal in jumping off the bridge was to show my partner how much I loved him and to show God that I was ready to walk down the aisle and become one with God and my love. I wondered where all my family and friends were? Why weren't they here waiting for me? As this was my wedding day. I was so confused. Little did I know that at that moment, I was at the height of a severe mania and had been hallucinating, delusional, and in a state of profound psychosis. It wasn't too long after I was running around trying to get into vehicles that I was taken into custody by the Royal Canadian Mounted Police and driven to the hospital, where I was admitted into the secure medical unit and later diagnosed with Bipolar 1. Six months prior, I had been diagnosed with panic attacks and depression, which prompted the psychiatrist to prescribe me antidepressants. Unfortunately, antidepressants can induce mania in patients with bipolar disorder, which I was told by the doctors. It is fair to say that had the previous psychiatrist taken more time to investigate my background, he may have been able to determine that I was, in fact, dealing with bipolar disorder, not just anxiety and depression. During my month stay at the secure medical unit, I received some good care from the attending psychiatrist, who is now my full-time doctor, and from the team of nurses. However, one incident that occurred during the first week left me traumatized and created a deep sense of shame and left me unable to speak of it for over a year. During the first few days in the secure medical unit, I was told I slept for days, which seemed reasonable as I had not been sleeping due to the mania. After feeling a little more stable, I recall feeling quite agitated with being isolated from family and friends and wanting desperately to speak with my mother and my best friend. I remember walking out of my room and heading towards the nursing station, where I promptly asked the attending nurses to give me the phone so I could call both my mother and my best friend. The staff refused to do so. I then became incredibly upset and began yelling both my mother's and best friend's phone numbers repeatedly, demanding I be provided a telephone to call them. I was tackled and taken into a small room where I was pinned to the ground and injected with a needle in my butt. Within minutes I was knocked out by the sedative they gave me. When I finally awoke, I was terrified by my surroundings as I was locked...

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.208
GPT teacher head0.398
Teacher spread0.190 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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