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The Sick Child in Early Modern England, 1580-1720

2012· book· en· W4230600933 on OpenAlexaboutno aff
Hannah Newton

Bibliographic record

VenueOxford University Press eBooks · 2012
Typebook
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsAmbivalenceFeelingGriefSick childPerceptionPsychologyQuarter (Canadian coin)Developmental psychologyMedicinePsychiatrySocial psychologyPediatricsHistory

Abstract

fetched live from OpenAlex

Abstract This book is a powerful exploration of the treatment, perception, and experience of illness in childhood, between approximately 1580 and 1720. At this time, the sickness or death of a child was a common occurrence — over a quarter of young people died before the age of fifteen — and yet this subject has received little scholarly attention. The book takes three perspectives: first, it investigates medical understandings and treatments of children. It argues that a concept of 'children's physic' existed amongst doctors and laypeople: the young were thought to be physiologically distinct, and in need of special medicines. Secondly, the book examines the family's experience, demonstrating that parents devoted considerable time and effort to the care of their sick offspring, and experienced feelings of devastating grief upon their illnesses and deaths. Thirdly, the book takes the strikingly original viewpoint of sick children themselves, offering rare and intimate insights into the emotional, spiritual, physical, and social dimensions of sickness, pain, and death. It asserts that children's experiences were characterised by profound ambivalence: whilst young patients were often tormented by feelings of guilt, fears of hell, and physical pain, sickness could also be emotionally and spiritually uplifting, and a source of much attention and love from parents.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.028
GPT teacher head0.181
Teacher spread0.153 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations47
Published2012
Admission routes1
Has abstractyes

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