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Record W2335526394 · doi:10.1177/1470593116635878

The scrapbook as an autobiographical memory tool

2016· article· en· W2335526394 on OpenAlexaff
Barbara J. Phillips

Bibliographic record

VenueMarketing Theory · 2016
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNarrativeJournaling file systemPossession (linguistics)Autobiographical memoryAestheticsHobbyVisual artsPsychologyArtComputer scienceCognitive psychologyLiteratureLinguisticsPhilosophyRecall

Abstract

fetched live from OpenAlex

This study explores how consumers collect, reconstruct, and protect autobiographical memories through the material possession of the scrapbook. Scrapbooking is a hobby that preserves photographs and mementos in an album decorated with narrative and ornamentation. Through 20 interviews with women who scrapbook, a framework was constructed to describe the types of memories preserved by the scrapbook, the modes of memory reconstruction cued by the scrapbook, and the memory protection strategies used by consumers. These memory protection strategies include overcollection of memory markers, overplanning of scrapbook aesthetics, increased journaling, and taboos on altering or removing scrapbook pages. Theoretical implications are provided.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.288
Teacher spread0.277 · 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 designObservational
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

Citations14
Published2016
Admission routes1
Has abstractyes

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