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Record W1964984895 · doi:10.4081/reumatismo.2007.173

Dante’s Inferno and the McGill Pain Questionnaire

2011· article· fr· W1964984895 on OpenAlexaboutno aff
Natascia Tonelli, R Marcolongo

Bibliographic record

VenueReumatismo · 2011
Typearticle
Languagefr
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

AIMS OF THE STUDY: To study the images which depict the damned's sufferings in Dante's Inferno, in their expression of the several meanings of "pain", the semantics of "pain" in the poem has been analyzed, eventually trying to determine whether the organization of punishments of Inferno may somehow mirror a disability scale. METHODS: A detailed analysis of the text was carried out, which proved a valuable tool for interpreting the organization of punishments as a possible disability scale. The semantics of pain in the Divine Comedy was studied through all the forms of the pain descriptors (included the archaic terminological forms) from the Italian version of the McGill Pain Questionnaire (MGPQ) by Maiani and Sanavio. RESULTS AND CONCLUSIONS: In Dante's Inferno a classification of pain is provided, based on the experience of sufferings; Dante's images seem not only instrumental to investigating the sensorial but also the affective and intellectual spheres by introducing a number of characters and describing the impact of punishment onto their souls. Our research highlighted that 46 out of 78 terms from the MGPQ are present in Inferno, though with different forms; the Groups the MGPQ is divided into are also represented with the exception of Group XII, the most frequently detected being Groups XIII-which studies the fear-related sensations in the emotional sphere - XIV, XIX and XX. The great attention emerges that Dante devoted to describing simple sensorial experiences as well as the way punishments affected the soul. As a whole, the terms pertaining to the sensorial sphere are the most frequently encountered. The lack of motion which increases circle after circle in Hell, well matches the progressing physical and psychological impairment caused by some invalidating diseases. Noticeably, Dante created such a complex system centuries before the studies were released on the impact of pain and its quantitative and mostly qualitative definition. In conclusion, this interpretation suggests that the writing on the door to Hell which leads Dante into the inaccessible world of "the miserable race, those who have lost the good of intellect", may well be the title of a precise and incredibly up to date classification of painful sensations which are wonderfully described with simple and suggestive examples each time transforming into powerful images. ..."Through me road to the city of desolation, / Through me the road to sorrows diuturnal, / Through me the road among the lost creation".

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)0.009
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.033
GPT teacher head0.204
Teacher spread0.172 · 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".

Quick stats

Citations4
Published2011
Admission routes1
Has abstractyes

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