Recollections of Who We Were: Nostalgic Retrospective Perceptions of Japanese Society Following a Visit to a Shōwa‐era Museum
Bibliographic record
Abstract
Abstract Understanding visitors' retrospective perceptions in museums as they connect objects with their personal identities and life stories, as well as their collective social identities, is of considerable interest to the museum field. This study employed a multiple case narrative methodology to understand the common perceptual themes of post‐World War II Japanese society between 1955 and 1970 (Shōwa 30–45) held by older Japanese adults following their visit to a Shōwa‐era social history museum. From an inductive analysis ofn = 29 face‐to‐face interviews, five sustaining characteristic themes emerged which were later interpreted through the historical backdrop of the period together with Carstensen's socioemotional selectivity theory (SST) to provide deeper interpretation of the themes. Through their museum experiences, the visitors recalled a society characterized by; (1) close human relationships; (2) strong values and morals; (3) freedom, openness, and peace; (4) struggles and poverty, which could be overcome with patient effort; and, (5) hopes and dreams. These themes were key to the visitors' own identity and values – both personal and collective. This study contributes to a broader understanding of the power of museum experiences to evoke strong nostalgic recollections by Japanese citizens of their unique personal and collective identities, and the characteristics their retrospective memories from the perspective of the present day vantage point. It speaks to the power of the museum, not as a learning or knowledge acquisition experience, but rather in its power to affirm both personal and collective identity and the values that were retrospectively important for these visitors looking back.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".