Bibliographic record
Abstract
Purpose The purpose of this paper is to demonstrate the combined use of time-use diaries and interviews to get a fuller understanding of how people use their time, the factors that influence their time use, and their subjective perceptions of their time pressures. This paper focuses on how the methodology influenced the findings. Design/methodology/approach Participants kept a diary of their time use for one week and then participated in interviews to discuss their time use. Findings While the diaries yielded numerical data about participants’ time use, the interviews revealed the reasons behind their time choices. The complexity of Pakistani food preparation and the presence of in-laws in the home emerged as major factors. All participants expressed frustration with their time poverty. Research limitations/implications This was a small pilot study limited to eight participants. Practical implications This method gives researchers a more powerful tool for understanding not only how people use their time, but the social, cultural and economic forces behind their choices. Social implications Time poverty creates social inequities, especially among women and marginalized people. The methodology presented allows participants to have a voice in time-use studies and can help policy makers create policies that correct time poverty for disadvantaged groups. Originality/value This paper illustrates the usefulness of combining two existing methods for time-use studies in a new way for more powerful results.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".