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Record W4410468934 · doi:10.1080/15350770.2025.2507307

What <i>“Marcel the Shell with Shoes On”</i> Can Teach Us About Social Connectedness and the Caregiving Experience in Dementia

2025· article· en· W4410468934 on OpenAlexaff
Steven Hall

Bibliographic record

VenueJournal of Intergenerational Relationships · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSocial connectednessDementiaPsychologyGerontologySocial psychologyMedicine

Abstract

fetched live from OpenAlex

The film Marcel the Shell with Shoes On offers a unique exploration of social connectedness and the caregiving experience in the context of dementia. This exploration occurs through the lens of the film’s protagonist, a tiny shell named Marcel, and his aging grandmother, Nana Connie. As Marcel navigates a world that is both isolating and unexpectedly expansive, his caregiving role for Nana Connie, who experiences memory problems, reflects the emotional and practical complexities of supporting a family member with dementia. The film’s themes align with established concepts of intergenerational relationships and social connectedness, emphasizing the importance of meaningful connection, a sense of belonging, and resilience in the face of change. Through its creative storytelling, the film offers valuable lessons on the sustaining power of relationships, the emotions associated with caregiving, and the ways in which social connectedness shapes our identities and wellbeing.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0050.008
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.297
Teacher spread0.275 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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