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Record W2773592378 · doi:10.1186/s13643-017-0652-y

Technology for fostering intergenerational connectivity: scoping review protocol

2017· article· en· W2773592378 on OpenAlexafffund
Jennifer Boger

Bibliographic record

VenueSystematic Reviews · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsResearch Institute for AgingUniversity of Waterloo
FundersResearch Institute for Aging, University of WaterlooUniversity of Waterloo
KeywordsMultitudeProtocol (science)Data scienceMedicineKnowledge managementEngineering ethicsComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: The simultaneous increase in geographically dispersed families and general decrease in engagement in local communities is resulting in fewer opportunities for youth and older adults interact in meaningful ways. Technology is becoming increasingly pervasive and flexible and providing new opportunities to foster intergenerational connection that can be implemented and evaluated across a multitude of populations and contexts. What research has been done in this area is spread across disciplines and what aspects of technologies could make them more effective is not well understood. METHOD: The scoping review will be completed in five stages: (1) identifying the research question, (2) identifying relevant studies, (3) selecting studies, (4) charting the data, and (5) collating, summarizing, and reporting the results. Comprehensive descriptive data from each study will be presented along with an analysis of similarities and differences in research from different disciplines. DISCUSSION: This scoping review focuses on a search of the literature to gain an understanding of what technologies have been used specifically for fostering intergenerational connectivity and to establish what future directions for research could be. To the authors' knowledge, it is the first scoping review of its kind.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.106
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.141
GPT teacher head0.455
Teacher spread0.314 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreProtocol

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

Citations12
Published2017
Admission routes2
Has abstractyes

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