The Existential Loneliness Questionnaire: Background, development, and preliminary findings
Bibliographic record
Abstract
We described the background and the development of a new measure of existential loneliness, the Existential Loneliness Questionnaire (ELQ). Specifically, we analyzed the items of the preliminary version of the ELQ (ELQ-P) using methods based on item response theory (the Rasch model) and examined the convergent and discriminative validity of the ELQ in a sample of 47 HIV-infected women. Item analysis produced an ELQ version consisting of 22 items that were internally consistent and performed well in measuring an underlying construct conceptualized as existential loneliness. In addition, the ELQ discriminated well between symptomatic and asymptomatic HIV-infected women. The ELQ correlated strongly with measures of depression, loneliness not identified as existential and purpose-in-life and moderately strongly with a measure of hopelessness. Holding constant depression scores, the correlation between the ELQ and loneliness not identified as existential was significantly attenuated. Limitations of the study include the small sample size, which precluded an analysis of the dimensional structure of the ELQ.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".