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Record W2432287847

Heart and Soul: The truth about falling coconuts

2002· article· en· W2432287847 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Medical Association Journal · 2002
Typearticle
Languageen
FieldChemistry
TopicCoconut Research and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsFalling (accident)SoulMedicineNew guineaAnnalsHistoryClassicsEthnologyEnvironmental healthPhilosophyTheology
DOInot available

Abstract

fetched live from OpenAlex

Falling coconuts, a prop in innumerable comic routines, have finally garnered a little respect, although perhaps not the type a Canadian physician expected. Dr. Peter Barss' paper, “Injuries Due to Falling Coconuts,” received an Ig Nobel Award last year in recognition of research that “cannot or should not be replicated.” The only problem is that the paper's author insists that this is a deadly serious topic. Barss, a Montreal public health physician, received the Ig Nobel at Harvard from the editors of the Annals of Improbable Research, a bimonthly spoof of serious academic journals. Although pleased to be honoured, Barss isn't laughing. Barss, who lived in Papua New Guinea for 7 years and Angola for 2 years, says his winning paper, published in the Journal of Trauma (1984;24[1]:990-1), documents an important preventable injury in tropical climates. “Another main source of injury is people falling out of trees,” he adds. “A coconut palm is about 35 metres high, which is like falling out of a 10-storey building.” The world is a dangerous place, and Barss has devoted his career to documenting the hazards endemic to specific environments. When he was in Papua New Guinea between 1978 and 1985, he was director of a remote provincial hospital and sole physician for 130 000 people. It was there that he saw and documented the results of tree-related injuries. Looking at discharge diagnoses, he discovered how many head injuries were occurring because people were napping under palm trees. “It may seem funny from our perspective, but when you're treating these injuries daily, it's not funny at all,” he says. Barss applied the same eye to prevention when he published his first public health research paper in the Lancet, which dealt with the risk of burns caused by cooking fires. “Women and girls wore loose grass skirts that would catch fire and they would be severely burned,” Barss said during an interview at his Montreal home. Surrounded by the detritus from ongoing renovation of his century-old triplex, Barss described how mortal risks emerge from the natural world in developing countries — getting stabbed by leaping garfish while fishing, for instance, or being eviscerated by an enraged wild boar while walking in the jungle. “People are scared of sharks but we have a lot more trouble with needlefish zipping around under the water like torpedoes,” he said, referring to his published paper on the subject. Back in Canada, most of the risks are man-made. Here, Barss has made a point of designing the steps in his house to prevent falls. “I'm very interested in building safety, and stairs are an important source of fatal injuries,” he explained, noting that he has lectured medical students on stair safety by using wooden risers and planks as props. “I look at how accidents occur. There's a tendency to neglect prevention, even here.” Barss admits he has a different way of looking at the world, an oblique viewpoint that sees risks where others don't. Perhaps his interest in bizarre injuries began when he was doing cancer research in Chicago. “I got a really bad bite from a lab rat and decided then that I wanted to work with people,” recalls Barss. He went on to apply his clinical skills in Angola during a guerrilla war (where his first daughter was born), in an outpost in Labrador (where his second daughter was born) and in Papua New Guinea (where his third daughter was born). Barss, who has been back in Canada for a few years, now focuses on water safety. The week before receiving his Ig Nobel, the Canadian Red Cross honoured him with an award for his work preventing swimming pool and bathtub injuries. “I do the drowning research for the Red Cross in Canada, where we have the best database in the world on water surveillance,” said Barss. There has been an 80% drop in infant drownings since the surveillance program began in 1992. Despite his serious take on prevention, Barss is neither embarrassed nor insulted by the irreverent Ig Nobel prize, which he received during a ceremony characterized by paper airplanes, opera singers and a walk-on character named Sweetie-Poo. “Life is hard,” he observed. “It's good to have a laugh now and then.” — Susan Pinker, Montreal

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.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.000

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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