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Record W4310028559 · doi:10.31235/osf.io/pw5te

Transformation und Krise der Sorgearbeit

2022· preprint· de· W4310028559 on OpenAlexaff
Christian Berger, Nina‐Sophie Fritsch, Katharina Mader

Bibliographic record

Venuenot available
Typepreprint
Languagede
FieldSocial Sciences
TopicInnovation, Technology, and Society
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

In diesem Artikel beschäftigen wir uns mit der Transformation und Krise der Sorgearbeit. Dabei gehen wir auf die historischen Kontexte ein, aus der die Spaltung zwischen öffentlicher (bezahlter) und privater (unbezahlter) Sphäre resultiert und den Grundstein für die bis heute beobachtbaren geschlechterspezifischen Ungleichheiten (am Arbeitsmarkt) legt. Im Anschluss daran beschäftigen wir uns mit den gesellschaftlichen Transformationsprozessen, den technischen Entwicklungen, den Folgen des Wandels und dem daraus resultierenden Paradigmenwechsel – der beide Sphären nahhaltig verändert hat.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.015
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.023
Scholarly communication0.0080.011
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.003

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 head0.030
GPT teacher head0.333
Teacher spread0.303 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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