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Record W1899636296 · doi:10.1300/j194v01n01_12

The State of Our Art

2003· article· en· W1899636296 on OpenAlexaff
Valerie S. Kuehne

Bibliographic record

VenueJournal of Intergenerational Relationships · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsResearch programField (mathematics)Focus (optics)SociologyConceptual frameworkState (computer science)Management scienceEngineering ethicsEpistemologyComputer scienceSocial scienceEngineering

Abstract

fetched live from OpenAlex

In this two-part paper, the author examines inter-generational program research and evaluation based on a framework derived from a collaborative UNESCO (2000)-sponsored review of the intergenerational program field. In Part One, conceptual foundations for intergenerational programming are considered, taking into account theories that focus on individuals and groups within interactive contexts, those that focus primarily on individual development, and conceptually based program evaluations. In Part Two, appearing in the next issue of this journal, effects of intergenerational program participation are described, with emphasis on program activities and various program contexts. Challenges and questions emerging from the literature are presented, identifying the need for a greater use of theory in research, more cross cultural research, expanded outcomes, and solutions to some of the methodological challenges in intergenerational program research and evaluation.

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)0.012
metaresearch head score (Gemma)0.033
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 score0.113
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.033
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.005
Scholarly communication0.0180.013
Open science0.0040.006
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.1130.049

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 head0.031
GPT teacher head0.302
Teacher spread0.271 · 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

Citations49
Published2003
Admission routes1
Has abstractyes

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