MétaCan
Menu
Back to cohort

LESSON FROM JOANNE

2003· article· en· W2019947226 on OpenAlexaff
Cathy Risdon

Bibliographic record

VenueAcademic Medicine · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Law and Migration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMinor (academic)MedicinePsychologyPsychoanalysisArtHumanities

Abstract

fetched live from OpenAlex

Joanne was a tall woman with striking blue eyes and a manner that was simultaneously shy and defiant. I was to be her new family doctor. Her endocrinologist continued to prescribe the hormones supporting her transition from a male to a female. And, most importantly, she came with a skilled therapist helping her with the loss of her family who couldn't cope with her transgendered identity—and the fear of losing her twelve-year-old son who had just found out his father would prefer to live life as a woman. Her son meant the world to her. She was terrified of not accomplishing the tasks she had set herself: become comfortable as a woman, retool her job skills, support her son, and grow into her new life. Joanne's visits focused on health maintenance and several minor complaints, including a popping in her ears. With a normal physical exam, my first diagnosis was somewhat dismissive. “I don't think its anything—it should clear up on its own.” She was back three weeks later. I examined her again—gave her a more fancy diagnosis: Eustachian tube dysfunction and suggested she try decongestants. “Sometimes this takes a while to resolve,” I warned her as she left. One month later she returned—“you have to do something about my ears—they are driving me crazy.” I felt impatient. Clearly she was overreacting. On the scale of things, her problem was pretty minor. I could have slowed down long enough to explore her concern, however, in my annoyance, I countered with a specialist referral. The ENT note comes back: Eustachian tube dysfunction. We were now on our fourth visit in as many months for the popping ears problem. I was armed with the note from the specialist. I gave her the spiel again (complete with a diagram): self-limited symptoms, no easy cure, try another allergy medication, etc. She was visibly unhappy, but I was too full of my own irritation to really pay attention. In a somewhat sharp tone, I said, “Clearly I am missing something, here—why are you so upset about your ears?” “It's my voice,” she said slowly, her eyes fixed on a spot where the floor meets the wall. “My voice—it's the most unfeminine thing about me. I'm trying so hard to train my voice … so I can sound like a woman … so that people will believe me and I can get on with my life. I can't hear my voice when my ears are popping … my voice makes me sound like a freak.” I was dumfounded—at my own arrogance, mostly. I had broken my own rule about never assuming I knew better than my patients about what was important in their lives. I had decided that popping ears were too trivial—and very nearly missed something that was of core importance to Joanne. Joanne was a very gracious teacher to me that day. It's a lesson I suspect I will have to keep on learning.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.041
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0080.004
Scholarly communication0.0050.007
Open science0.0020.006
Research integrity0.0090.026
Insufficient payload (model declined to judge)0.0410.019

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 head0.064
GPT teacher head0.369
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueAcademic MedicineSame topicEuropean Law and MigrationFrench-language works237,207