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Record W2024200721 · doi:10.3928/0098-9134-20010601-09

The 20th Century: Looking Back at the Ambiance of Aging From the Perspective of Age-Specific Journals and Periodicals

2001· article· en· W2024200721 on OpenAlexaboutno aff
Patricia A. Holkup

Bibliographic record

VenueJournal of Gerontological Nursing · 2001
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
Fundersnot available
KeywordsLife expectancyGerontologyPerspective (graphical)Population ageingPhenomenonQuarter (Canadian coin)PopulationLongevityPsychologyMedicineDemographyHistorySociology

Abstract

fetched live from OpenAlex

The word "aging" is fraught with nuance, both positive and negative. The purpose of this article is to describe the results of a preliminary exploration of the ambiance of the concept of aging in the United States as seen from the perspective of periodical literature from the past century. A convenience sample of professional journals and lay periodicals concerned with aging and the issues of aging was selected as the focus for this investigation. Specifically, volume one, number one of the selected journals was examined with regard to the date of the first publication, the table of contents, and the first issue editorial or articles in the first volume describing the motivation for the introduction of the journal. Findings indicated that as the century progressed and the study of aging took form, the focus shifted from how to manage the problems of aging to: (a) how to promote healthier young adult lifestyles to increase the chances of a healthy old age, (b) how to continue to maintain older adults' health and therefore, increase the life expectancy for those people older than age 65, and (c) how older adults contribute to the well-being of society. The longevity of the human species, as well as the increasing size of the aging population is a new phenomenon, the ramifications of which are difficult to predict. However, as the emotional tone of the journals in the latter quarter of the century gradually became more positive, it was apparent that consideration was being given to the idea that this phenomenon could be a positive force in the collective growth of humanity.

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)0.015
metaresearch head score (Gemma)0.034
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: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.006
Science and technology studies0.0080.008
Scholarly communication0.0170.012
Open science0.0010.004
Research integrity0.0010.002
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 head0.078
GPT teacher head0.394
Teacher spread0.316 · 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

Citations2
Published2001
Admission routes1
Has abstractyes

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