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Record W2156488206 · doi:10.3167/hrrh.2013.390301

Reconsiderations of the Idea of Nostalgia in Contemporary Historical Writing

2013· article· en· W2156488206 on OpenAlexvenueno aff
Patrick H. Hutton

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2013
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsIdealizationAestheticsHistoriographySadnessHistoryIllusionObsolescenceLiteratureConsciousnessPsychoanalysisPsychologyArtPhilosophyEpistemologySocial psychologyCognitive psychology

Abstract

fetched live from OpenAlex

Scholarly interest in the topic of nostalgia has come late to discussions of the workings of memory, a popular topic in contemporary historiography, but its moment may at last have arrived, bringing with it perspectives unappreciated a generation ago. As an emotional response to time’s passage, nostalgia has long been viewed with suspicion. From the dawn of the modern age, critics have explained that it plays into life’s illusions, drifting into sentimental idealization of a past on the fast track to obsolescence. From the earliest critical commentaries on its nature in the late seventeenth century, nostalgia has been equated with homesickness, futile longing for lost places, lost times, and lost causes. For the most part, it was diagnosed as a psychological disorder that immobilized individuals susceptible to the tug of its emotions. It was in this guise that discussion of its nature entered the lexicon of medical discourse during the nineteenth century. The impairments of those who suffered from its sadness were real. The remedy was to awaken them to life’s present realities, and so to teach them to adapt with vigor to their own times.

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)0.027
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0120.117
Scholarly communication0.0190.019
Open science0.0030.006
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0030.000

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 head0.101
GPT teacher head0.352
Teacher spread0.251 · 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 designTheoretical or conceptual
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

Citations6
Published2013
Admission routes1
Has abstractyes

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