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Record W2053613379 · doi:10.1111/jgs.12782

Take as Directed

2014· article· en· W2053613379 on OpenAlexaff
Alim Nagji

Bibliographic record

VenueJournal of the American Geriatrics Society · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Practices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePillOrange juiceWhite (mutation)SOCKSTraditional medicineAdvertisingArt historyFood scienceHistory

Abstract

fetched live from OpenAlex

Time was measured not by the hands of the clock but by the cascades of pills that flowed into my mouth. They extended my life, I was told, each capsule buying me more time. I imagined a little angel, sitting on my shoulder with a ledger, adding a minute for each pill swallowed. Surely the larger ones earned more time? As I aged, their quantities had multiplied: from the “little-white-pill with lunch” to the “three round horse pills” that had to be kept away from sunlight. Rise 30 minutes before breakfast and take your iron on an empty stomach with a glass of orange juice, they told me. At the next visit, they admonished me for drinking juice daily. “We're concerned about your sugars, dear.” The young doctor looked positively undersized in his oversized white coat. He was younger than my grandson, but with the same air of self-confidence. He wore thick black glasses, like my husband had when we were young. His spiked hair and brightly colored socks were hardly the epitome of professionalism, yet this generation valued only themselves. He talked as if he had seen the world; perhaps he had through the Internet or Google or maybe he had seen it in an atlas. Do they even use atlases anymore? At my respirologist's office, the bratty clerk with the low-cut shirt rudely directed me back to the waiting room where magazines with miniature font awaited me. Waiting doesn't bother me; when you get to my age, the remaining years are a gift, and you realize that moments don't need to be full to be valuable. I listen to the sound of my own breathing, wondering what rattling she hears when she presses the stethoscope to my chest. She is a handsome woman, with strong features and a nose that dropped off sharply, leaving her glasses to slip as she peered down at me. I used to be taller, but age had taken that away, too. It's as if time was designed to make you humbler. She shook my hand with firm grasp and I noticed the empty spot on her left hand. “Where did that gorgeous ring of yours go?” I asked her. I saw the softness behind her hard features. Pain is universal. I scuttled my way to the pharmacy, my hefty purse balanced precariously on the seat of my walker. Inside, a single piece of paper contained scribbled lines with more instructions. Take two puffs twice daily. Take one to four puffs up to four times a day as needed, although they didn't say that, not at first. The pharmacist had to decipher each code and turn it into tiny labels that were pasted onto the bottles. Each was a treasure hunt, and following all the clues led to eternal life—if life were at the bottom of the sepia-colored containers that housed my pills. When I got to the counter, it was a new pharmacist, this one a chatty chap with thinly cut hair and a thick accent. He didn't smile much, his beady eyes flitted about erratically, and when he offered to teach me how to use my inhalers, I hastily declined. “But has anyone shown you how to use them properly?” he crooned. Apparently, he had little faith in the man who owned this shop before him. I opened the door to my apartment, a tiny bedroom and bathroom wedged between the locked dementia unit and the long-term care facility. I pulled the blue and purple tubes out of the white paper bag, neatly folding the bag and placing it in the bin with the pile of others from earlier this week. The bottles dominated my dresser. Large white ones with colorful labels conquered the back; they promised to supplement my diet. Their dominant forms obscured my dusty family portraits. The middle ones were all my “official” medications, each one signed off by a pharmacist and doctor and carefully counted and placed into urine-toned bottles with child locks. Scattered in between were half-filled packs of antibiotics, antiemetics, antitussants, and antidepressants. I gazed at my shrine. Would they bury these with me—these tokens of a life well lived—or would I just never die if I followed all their instructions? I pulled my wire-framed glasses off my face and nuzzled a spot for them amidst the healers. Their names, once crisp, were now blurred. I laid down in bed and stared into space. I waited for my next dose. ***** This is a work of fiction. The patient characteristics are a composite of several patient encounters, with all identifiable details removed to maintain confidentiality. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the author and has determined that the author has no financial or any other kind of personal conflicts with this paper. Author Contributions: Alim Nagji is responsible for the entire contents of this paper. Sponsor's Role: None.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0080.004
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.9140.848

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 head0.023
GPT teacher head0.339
Teacher spread0.316 · 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.

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

Citations3
Published2014
Admission routes1
Has abstractyes

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