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Heart and Soul: The truth about falling coconuts

2002· article· en· W2432287847 sur OpenAlexvenueaboutno aff
Susan Pinker

Notice bibliographique

RevueCanadian Medical Association Journal · 2002
Typearticle
Langueen
DomaineChemistry
ThématiqueCoconut Research and Applications
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFalling (accident)SoulMedicineNew guineaAnnalsHistoryClassicsEthnologyEnvironmental healthPhilosophyTheology
DOInon disponible

Résumé

récupéré en direct d'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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,027
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,031

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,027
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0050,028
Communication savante0,0080,015
Science ouverte0,0020,003
Intégrité de la recherche0,0180,032
Charge utile insuffisante (le modèle a refusé de juger)0,0050,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,248
Écart entre enseignants0,235 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2002
Routes d'admission2
Résumé présentoui

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