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Record W2411338135

Heart and Soul: With only your stethoscope and your brain

2002· article· en· W2411338135 on OpenAlexvenueaboutno aff
Donalee Moulton

Bibliographic record

VenueCanadian Medical Association Journal · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic, financial, and policy analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTamilHomelandSpanish Civil WarMedicineHistoryLawArtPoliticsPolitical scienceArchaeologyLiterature
DOInot available

Abstract

fetched live from OpenAlex

There are sounds that are as familiar to family physicians as their own voice: the wail of a youngster as a needle punctures skin, the happy cry of a woman when she learns she's pregnant, the quiver of concern in the voice of a patient with unexplained pain. For Dr. Lori Burgess, family practice has also brought the sound of machine-gun fire, exploding land mines, jeeps bouncing over rocky paths, rebels stealing through the night. Last year, the Kentville, NS, FP left the comfort of practice in small-town Canada to spend 6 months in Sri Lanka, a country ravaged by civil war for nearly 20 years. A volunteer with Doctors Without Borders/Medecins Sans Frontieres (www.msf.ca), Burgess was sent to the northern part of Sri Lanka, an area controlled by the Tamil Tigers. These rebels who have been fighting for a separate homeland for the country's Tamil minority since 1983. Day in, day out, the machinery of war operated outside the 32-bed hospital where Burgess worked 13-day shifts. But both the army and the rebels left the hospital and its staff alone. “They recognized the value of what we were doing.” Much of what Burgess did each day dealt with the ravages of war. The scars were deep and the damage sustained. Today there is no electricity, no phones, no paved roads, few jobs. “A lot of men are unemployed,” notes Burgess. “We saw a fair bit of post-traumatic stress disorder. [These people] have lost members of their families, had beatings, seen suicides.” Ultimately, though, war was not life. Even with armed rebels and national troops a constant presence, Burgess says there was still of sense of joy. “In general, the people are resilient and happy. People still went about their business.” Burgess also went about hers, but the business of medicine is much different in Sri Lanka than Nova Scotia. There was only one other physician to serve 20 000 people, and “there was no lab, no x-ray facilities, few medicines. You couldn't rely on tests. You had your stethoscope, your othoscope, an old EKG machine, your brain.” When her brain told her that further exploration was critical, Burgess would send a patient south to see specialists. However, this time-consuming trip could be a waste of time. “Often,” she says, “the patient was sent back with nothing done.” This inability to help – the natural consequences of war and poverty – were what Burgess found most frustrating. “It is discouraging to know you could have done something if conditions had been different.” Distance and accessibility were major problems. “People had to travel so far to get to us. They didn't always make it.” On average, the doctors and nurses at the hospital treated 200 inpatients a month and 1200 outpatients. Patients arrived by bike, in carts and on foot. But conditions may soon change in this beautiful country. Guns have fallen silent in the wake of a ceasefire deal signed Feb. 22, which moves the country one step closer to peace talks. Sri Lanka is the third place Burgess has volunteered. In 1994 she worked in Kenya, and 3 years later she went to Guatemala. More missions are on the horizon, although where and when remains uncertain. But the trips don't get any easier. “After coming home,” she says, “it takes months to reacclimatize.” — Donalee Moulton, Halifax

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.219
Teacher spread0.196 · 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 designObservational
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
Published2002
Admission routes2
Has abstractyes

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