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Record W4210508361 · doi:10.1097/acm.0000000000000861

Stillborn

2015· article· en· W4210508361 on OpenAlexaffabout
Baruch D. Jakubovic

Bibliographic record

VenueAcademic Medicine · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWifeMedicinePsychoanalysisPsychologyPhilosophyTheology

Abstract

fetched live from OpenAlex

In the middle of the night, I was called to the operating room where a woman in labor had been rushed because of a possible cord prolapse. As a medical student, I had anticipated this part of my pediatrics rotation; at the time, my wife was three months pregnant. When I entered the room, I was struck not by a sense of urgency but by a relatively minor detail. Instead of one neonatal bed, there were two. I realized then that I would be observing my first twin delivery. Within seconds, the first baby’s cry resonated as he was lifted from his mother’s womb. Moments later, the second baby was placed before me. Gazing down, I noticed that she was unresponsive, with a blackened umbilical cord, a large bruise encompassing her abdomen, and generalized skin maceration. Despite our resuscitation efforts, she remained unresponsive. Following a discussion among the medical team, our efforts were halted. She was declared a stillborn. A wave of emotion overtook me. The finality of it was eerie. Before me was a newborn baby whose parents were expecting to hold her in their arms. But now, she was to be wrapped up and covered in blankets, not to be seen at all. Pulling the father to the corner of the room, we revealed the tragic news. Incredibly, he maintained his composure. We asked him to decide whether his wife should be told immediately or later. I could only imagine what he was thinking. He must have been experiencing both joy and sorrow as he tried to balance the elation of becoming a parent with the unequaled pain of losing a child. There were probably already two cribs at home, the double stroller, the diapers, and the books, not to mention the extended family waiting anxiously by their phones to hear what they anticipated would be good news. There he stood, forced into the impossible position of needing to make an immediate choice for his wife. During that interlude, I could not help but identify with him, as I too would soon be a father in a delivery room. What if something went wrong during my baby’s delivery? How would I handle myself if placed in similar circumstances? The possibilities raced through my mind as I watched this new father silently and painstakingly weigh his options. Judging by the ear-shattering shrieking and sobbing that overtook the room, the path he chose was clear. Everyone present was affected. It was time for the pediatrics team to leave the room. At my previous deliveries, the members of the team reintroduced themselves before leaving, congratulated the parents on the birth of their child, and provided a short description of their role in the delivery process. But what should I do now? Do I congratulate the parents on the birth of one child? Do I apologize and say how sorry I am? No choice seemed right. Noticing that the parents were holding each other and crying, I awkwardly left the room without saying a word. As I removed my mask, gown, and gloves, I felt numb. I’m not ashamed to say that I cried and not just a little. How can one possibly prepare for calamity? I suspect no one was ready for what took place, yet everyone completed their duties in spite of the new mother’s cries. Countless other experiences have hit close to home since that night. Through them, I learned to allow patients and their predicaments to percolate just enough to allow for empathy, yet not too much so as to affect my ability to perform my responsibilities. While this lowering of my emotional barricade may lead to tears, I believe that it also has a cathartic benefit. Some would argue that this practice renders me vulnerable; I believe it reveals my humanity. I’ve also learned the importance of reflecting on these experiences with those close to me. Life and death are a part of what I do, and I should not be embarrassed or scared to share these moments or the emotions that they elicit. In the ensuing months, I had many sleepless nights. While I shared this event with a few colleagues and teachers, I was unable to talk about it with the most important person in my life—my pregnant wife. The result was an unshakeable sense of isolation, which writing this piece has only partly remedied. Six months later, I found myself in another delivery room, where my wife gave birth to our first child, a healthy boy of 8 lbs 11 oz. After he was born and my sense of apprehension cleared upon hearing his first loud cry, I did what fathers do. I carefully counted his 10 fingers, 10 toes, two eyes, and one nose. Yet perhaps more than most, I know how to count my blessings. Acknowledgments: The author thanks Dr. Allan S. Detsky for serving as mentor, for encouraging him to retell and reflect on this story, and for commenting on earlier drafts of this essay. He also thanks Dr. Ivor Margolis for his guidance and input on this essay. Baruch D. Jakubovic, MD B.D. Jakubovic is a resident physician, Department of Medicine, University of Toronto, Toronto, Ontario, Canada; e-mail: [email protected]

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.000
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 head0.126
GPT teacher head0.406
Teacher spread0.280 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2015
Admission routes2
Has abstractyes

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