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Record W2232833532

Participatory alternatives for charity food delivery? Finnish development in an international comparison

2014· book-chapter· en· W2232833532 on OpenAlexaboutno aff
Tiina Silvasti

Bibliographic record

VenueJyväskylä University Digital Archive (University of Jyväskylä) · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsCitizen journalismParticipatory developmentEnvironmental planningFood deliveryBusinessEnvironmental resource managementPolitical scienceGeographyEnvironmental scienceMarketing
DOInot available

Abstract

fetched live from OpenAlex

Social rights in terms of support and service are central for the possibility of participating in a variety of areas of life. Social political support can be defined as rights through a special law or as a part of the general welfare supply of services. In this chapter the welfare service personal assistance is focused in relation to the possibility of participation in society for people with disabilities. One overall issue discussed in the chapter is in what way personal assistance as a right can give access to participation and in a broader sense strengthen a person's autonomy. It is based on research in the welfare service personal assistance in Sweden. Based on documents of the Swedish legislation process and also on interviews with personal assistants the legal construction is depicted as well as its implications as far as the practical application of the right is concerned.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0050.003
Scholarly communication0.0070.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.064
GPT teacher head0.269
Teacher spread0.206 · 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 designQualitative
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

Citations11
Published2014
Admission routes1
Has abstractyes

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