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Record W4206727522 · doi:10.5744/bi.2021.0003

Beyond Mortality

2021· article· en· W4206727522 on OpenAlexaff
Heather T. Battles, Rebecca J. Gilmour

Bibliographic record

VenueBioarchaeology International · 2021
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsMount Royal University
Fundersnot available
KeywordsPoliomyelitisBioarchaeologyPandemicSmallpoxDiseaseMeaslesParalysisMedicineInfectious disease (medical specialty)PediatricsHistoryPsychiatryCoronavirus disease 2019 (COVID-19)VaccinationVirology

Abstract

fetched live from OpenAlex

Epidemics and pandemics are typically discussed in terms of morbidity and mortality, susceptibility and immunity, and social responses to and impacts of the immediate epidemic event. Much less attention is paid to the longer-term consequences for individuals and populations in terms of the sequelae of infections, such as blindness after smallpox, deafness due to congenital rubella, and paralysis after polio. This same tendency is observed in the COVID-19 pandemic, with counts of cases and deaths, questions of immunity, and economic impacts at the foreground and long-term or chronic health impairment of COVID-19 survivors receiving less attention. Much of the existing research on the effects of such disease sequelae has come from disability history; in addition, the bioarchaeology of impairment/disability is an emerging area of research that can contribute insight into experiences of disease consequences. In this article, we give an overview of published work on survivors of infectious disease using both bioarchaeology and disability history. Using the example of post-polio paralysis, we propose a theoretical approach to the bioarchaeological study of infectious disease that is inclusive of the history of impairment and disability, which we refer to as a survivor lens. We structure this discussion through scaffolded questions that move through multiple levels of analysis: from the individual and relational to the drivers of cultural change. We argue that bioarchaeological research on past epidemics and pandemics that attends to morbidity and lasting impairment and disability can contribute to wider conversations about infectious disease and disability in the past and present.
 
 En général, les épidémies et les pandémies sont considérées en termes de morbidité et de mortalité, de susceptibilité et d’immunité, et de réponses sociales et d’impacts immédiats de l’événement épidémique. Moins d’attention est accordée aux conséquences à long terme pour les individus et les populations en termes de séquelles d’infections, telles que la cécité après la variole, la surdité due à la rubéole congénitale et la paralysie après la polio. Cette même tendance est observée lors de la pandémie de COVID-19. Il y a moins d’attention accordée au nombre de cas et de décès, aux questions d’immunité et d’impacts économiques au premier plan, et aux problèmes de santé à long terme ou chroniques des survivants de COVID-19 reçoivent. Une grande partie de la recherche existante sur les effets de ces séquelles de la maladie provient de la recherche sur les déficiences/handicaps. De plus, la bioarchéologie de la déficience/handicap est un domaine de recherche émergent qui peut contribuer à mieux comprendre les expériences des conséquences de maladie. Dans cet article, nous donnons un aperçu des travaux publiés sur les survivants de maladies infectieuses en utilisant à la fois la bioarchéologie et l’histoire du handicap. En utilisant l’exemple de la paralysie post-polio, nous proposons une approche théorique de l’étude bioarchéologique des maladies infectieuses qui inclut l’histoire de la déficience/handicap, que nous appelons une lentille de survivant. Nous structurons cette discussion à travers des questions échafaudées qui traversent de multiples niveaux d’analyse: de l’individu au relationnel, jusqu’au aux changements culturels. Nous soutenons que la recherche bioarchéologique sur les épidémies et pandémies historiques qui examine la morbidité et le handicap peut contribuer à des conversations plus larges sur les maladies infectieuses et le handicap au passé ainsi qu’au présent.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.037
GPT teacher head0.380
Teacher spread0.343 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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