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Record W2593911022

Future of Nostalgia: How might we use nostalgia to improve psychological resilience in a fast-changing world?

2016· other· en· W2593911022 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2016
Typeother
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsSocial connectednessFeelingResilience (materials science)AestheticsPsychological resilienceModernization theorySociologyPsychologySocial psychologyPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Nostalgia as a longing for home, where we feel a deeper sense of connectedness and a slower sense of time. Today’s heightened nostalgia is due to modernization, which created an environment where people are lonelier and more pressed for time– which have significant implications for well-being -- than people living in societies that are not as affluent or have not adopted the modern way of living. As the characteristics of modern society persist into the future, there will be increasing need to foster resilience among people. Nostalgia is a vehicle that can be used in experience design to transport positive feelings from the past into the present and improve psychological resilience. Deliverables include heuristics for leveraging nostalgia in experience design and a workshop guide that facilitates the design of nostalgic experiences.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.004
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0040.002
Research integrity0.0010.002
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 head0.050
GPT teacher head0.345
Teacher spread0.295 · 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