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Record W4407605858 · doi:10.70266/9783886177530

10.70266/9783886177530

2000· book· en· W4407605858 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typebook
Languageen
FieldHealth Professions
TopicSocial and Demographic Issues in Germany
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Nach Wohnen, Arbeiten, Schule und Leben in der Gemeinde widmet sich das nächste Heft unserer erfolgreichen »heute«-Reihe dem letzten großen Lebensabschnitt, dem Alter. Dieses Thema beschäftigt uns immer mehr, denn die Menschen werden heute immer älter. Dadurch verändern sich die Anforderungen an die Unterstützung von Menschen mit Behinderung. Gleichzeitig bietet diese Entwicklung neue Möglichkeiten und muss die Perspektive dieser Menschen berücksichtigen. Die gesellschaftliche Zielperspektive einer inklusiven Gesellschaft erfordert einen neuen Umgang mit Verschiedenheit. Besonders wichtig ist dabei die Struktur, in der Menschen leben, arbeiten und ihre Freizeit verbringen, der Sozialraum, das Quartier. Menschen mit Behinderung gehören auch im fortgeschrittenen Alter nicht zum »alten Eisen«. Sie können ihren Ruhestand genießen, wenn die Rahmenbedingungen stimmen. Die Broschüre stellt - allgemein verständlich geschrieben - Mut machende Beispiele guter Praxis vor, quer über die Republik verteilt. Sie beweisen, Veränderungen sind machbar, Gemeinwesenorientierung und Inklusion sind nicht nur Schlagworte, sondern bereits gelebte Praxis

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0070.006
Open science0.0020.005
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.9760.979

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 head0.025
GPT teacher head0.322
Teacher spread0.297 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2000
Admission routes1
Has abstractyes

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