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Record W2007705622 · doi:10.1080/15350770.2011.618369

The Meadows School Project: Case Study of a Unique Shared Site Intergenerational Program

2011· article· en· W2007705622 on OpenAlexaff
Arlene J. Carson, Karen Kobayashi, Valerie S. Kuehne

Bibliographic record

VenueJournal of Intergenerational Relationships · 2011
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsBannerQuality (philosophy)Best practiceSociologyMeaning (existential)Web sitePublic relationsPsychologyPolitical scienceGeographyComputer scienceWorld Wide WebEpistemology

Abstract

fetched live from OpenAlex

This paper describes a unique intergenerational project that the authors propose to be considered under the banner of “shared site” programs. The Meadows School Project shares important features with many intergenerational shared site programs. Its goals to build community, dispel stereotypes, and increase understanding and meaning in relationships between generations are achieved through intensive, high-quality interaction sustained over time. This case study highlights benefits and challenges in line with those noted in other studies of intergenerational shared sites and underscores the importance of further research on important environmental, community, program, and policy dimensions to inform theory and best practice guidelines.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.006
Scholarly communication0.0020.003
Open science0.0020.009
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.242
GPT teacher head0.424
Teacher spread0.183 · 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

Citations17
Published2011
Admission routes1
Has abstractyes

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