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Record W1554817632 · doi:10.14288/hfjc.v5i4.129

The developing understanding of Human Health and Fitness: 5. The Renaissance.

2012· article· en· W1554817632 on OpenAlexaff
Roy J. Shephard

Bibliographic record

VenueOpen Collections · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThe RenaissanceClassicsControl (management)MedicineHistoryManagementArt historyEconomics

Abstract

fetched live from OpenAlex

Abstract Many factors contributed to a sudden upsurge of knowledge during the Renaissance, including a westward migration of the Greek scholars who had been expelled from Constantinople, the emergence of wealthy research sponsors, the printing of technical books and a relaxation of the previously tight ecclesiastical control over institutions of higher learning. Renewed opportunities for human dissection allowed a better understanding of body structures and thus a clearer insight into such physiological processes as the circulation of the blood, respiratory gas exchange and muscular contraction. Initially, the dominant centres of health science were in Bologna and Padua, but new medical schools quickly appeared in France, the Netherlands and Britain. Leading scholars at these institutions rejected the mediaeval traditions of asceticism and began to think in terms of developing the physical body as well as the soul. Moreover, several prominent physicians promoted regular exercise as an important factor in maintaining good health. Despite the introduction of licensing schemes for physicians and surgeons, many forms of treatment remained bizarre, and most were ineffective. Primary schools multiplied, and began to offer a semblance of education not only to families of the elite, but also to a growing proportion of children from the general population. But in most of these institutions, academic instruction was limited to long hours of rote learning. A few teachers such as da Feltra, Mulcaster and Montaigne were notable exceptions to this rule, seeing physical education as an important and integral component of the childs learning process. In England, many university authorities rejected student involvement in games such as football, seeing such activities as unwarranted distractions from academic study and religious observance. In European courts, a vigorous interest in sport was carried over from the Middle Ages, although some forms of activity became more stylized and required less physical effort. For the social elite, a further factor reducing habitual activity was the replacement of active commuting by the use of sedan chairs. A large segment of the general population continued to toil for long hours in the fields as agricultural labourers, but a growing proportion of citizens moved into the cities, where newly established Guilds offered sedentary employment. Most aspects of public health still attracted little attention from either the government or the public, and high death rates from epidemics such as bubonic plague remained the norm.

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)0.011
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0050.069
Scholarly communication0.0080.013
Open science0.0010.007
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.193
GPT teacher head0.329
Teacher spread0.136 · 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
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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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