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Enregistrement W7006170088

Structural violence in Éire: The bone histology of victims from the Great Famine (Kilkenny, Ireland 1845-1852)

2021· dissertation· en· W7006170088 sur OpenAlexaboutno aff

Notice bibliographique

RevueOtago University Research Archive (University of Otago) · 2021
Typedissertation
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueDiverse Scientific and Economic Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFaminePopulationSubsistence agricultureDiseaseQuarter (Canadian coin)BioarchaeologyCause of deathJoint disease
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This project uses bone histological analysis to explore how disease, diet, and social circumstances affected the bone remodeling of a group of people who died during the Great Famine in Ireland between 1845 and 1852. The human remains discovered on the grounds of the nineteenth century Kilkenny Union Workhouse in Kilkenny City, Ireland represent a well contextualized, homogenous group of people who died due to stress induced by the Great Famine sometime between 1847-1851. These factors make this an ideal population to study the biological effects of structural violence and for investigating the meaning of skeletal lesions, often referred to as the “osteological paradox”.
\nIn 1845, a potato blight wiped out the primary means of subsistence for the poor in Ireland, causing the country to lose a quarter of its population to death and migration. This event had a massive cultural, demographic, and biological impact on the world and has been the source of international scholarly interest in the recent past. Historical research has suggested the poor in Ireland suffered and died from comorbidities of infectious and metabolic disease due to food insecurity, the cause of which is debated but is often attributed to conflicts with England. Bioarchaeologists have recently examined the effects of diet and disease on the macroscopic surface of the skeletons but none have looked at the effects of the Great Famine on their bone microstructure. 
\nThe skeleton reacts to physiological effects of stress on the micro level before presenting as lesions on bone, and since many diseases are not reflected in the bioarchaeological record, histological analyses of bone may be informative of the lived experience of those with and without lesions. This study compares bone remodeling patterns in the ribs of 99 adults and 87 subadults between four disease categories: metabolic disease, infectious disease, comorbidities of infectious and metabolic disease, and no lesions, to determine if variation in bone microstructure exists between disease types. This was conducted using bone histological variables that reflect the maturity of remodeling and extent of porosity, which can be indicative of overall health. Additionally, carbon (δ13C) and nitrogen (δ15N) stable isotope values obtained from the ribs of the same individuals were compared to bone histological variables to determine if changes in diet due to the loss of the potato and the introduction of maize as a relief food influenced bone remodeling. 
\nThe results show that rib bone porosity is highest in adults without lesions and lowest in adults with evidence of infectious disease. Similar results were obtained in the subadult cohort. Additionally, those with evidence of scurvy generally show less porosity throughout the rib cortex for both age cohorts. Comparisons of histomorphometry with stable isotope values showed a positive correlation between osteon size and δ15N values in adults as well as a positive correlation between Haversian canal size and δ13C values in the subadults, possibly indicating slower remodeling in those with more evidence for starvation and less mature remodeling in those with maize in their diet, respectively. This study showed that bone histology is impacted by both disease and diet and may be useful for interpreting the meaning of lesions and understanding the impact of social status on population health.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,189
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0000,000
Science ouverte0,0020,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,040
Tête enseignante GPT0,226
Écart entre enseignants0,186 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2021
Routes d'admission1
Résumé présentoui

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