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Record W2624277314 · doi:10.1163/15685306-12341449

A Longitudinal Study of the Relation between Acquiring a Dog and Loneliness

2017· article· en· W2624277314 on OpenAlexaff
Nikolina M. Duvall Antonacopoulos

Bibliographic record

VenueSociety and Animals · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsLonelinessPsychologyLongitudinal studyClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

This longitudinal study examined the effect of acquiring a dog using both an indirect and a direct measure of loneliness. The loneliness levels of 31 adults who acquired a dog and a control group of 35 non-dog guardians (non-dog owners) were assessed at baseline and 8 months. Results revealed that changes in loneliness over time differed for the two groups when loneliness was assessed through a 1-item direct measure. Participants who acquired a dog experienced reduced loneliness levels from baseline to 8 months and were less lonely at 8 months than non-dog guardians, even though the two groups did not differ at baseline. On the other hand, when loneliness was assessed through a multi-item indirect measure, acquiring a dog had no effect on loneliness. These results highlight the importance of the type of measure used to assess loneliness when examining changes in loneliness following the acquisition of a companion animal.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.061
GPT teacher head0.385
Teacher spread0.324 · 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 designObservational
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

Citations30
Published2017
Admission routes1
Has abstractyes

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