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Record W6955357166 · doi:10.57974/re:visit_2023_2.12

Who Cares? – Caring in Literature: the Ambivalence of Caregivers in the French Novel between 1870 and 1945

2024· report· en· W6955357166 on OpenAlexaboutno aff

Bibliographic record

VenueREVISIT: Humanities & Medicine in Dialogue · 2024
Typereport
Languageen
FieldMedicine
TopicDigital Radiography and Breast Imaging
Canadian institutionsnot available
Fundersnot available
KeywordsAmbivalenceService (business)Qualitative researchMedical care

Abstract

fetched live from OpenAlex

Who takes care of whom? And who assumes caregiving responsibilities or medical care under what (work) conditions for children, the sick, and old, dependent individuals – i.e., for those groups identified as particularly vulnerable in care ethics? The research project, ironically titled À votre service (At Your Service or Always at Your Service), funded by the Canadian CRSH/SSHRC, is based, among other things, on these care-related questions. As specified in the project's subtitle, its aim is to illuminate various aspects of caring for others/for oneself (self-care) from a historical perspective, using examples of fictional characters from French literature.

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)0.007
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.200
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0230.040
Scholarly communication0.0120.006
Open science0.0010.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.044
GPT teacher head0.300
Teacher spread0.256 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueREVISIT: Humanities & Medicine in DialogueSame topicDigital Radiography and Breast ImagingFrench-language works237,207