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Record W3196318920 · doi:10.1024/1662-9647/a000274

Students’ Attitudes and Intention to Work with Older Adults in the Era of COVID-19

2021· article· en· W3196318920 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeroPsych · 2021
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)CohortPsychologyThematic analysis2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Work (physics)Social psychologyGerontologyMedicineSociologyQualitative researchSocial scienceInfectious disease (medical specialty)Virology

Abstract

fetched live from OpenAlex

Abstract. We surveyed 377 undergraduates, half in the spring (i.e., before COVID-19) and half in the fall (i.e., during COVID-19) term of 2020 on explicit attitudes toward and intention to work with older adults (OAs). We asked open-ended questions about their attitudes toward OAs resulting from COVID-19. We found significant differences with small effect sizes between the cohorts on explicit ageism. Thematic content analyses found that most students themselves did not perceive a change in their explicit attitudes toward OAs. Negative ageism predicted intention to work with OAs for the spring cohort, but this shifted to positive ageism for the fall cohort.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.408
Teacher spread0.369 · 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