“Time is not time is not time”: A feminist ecological approach to clock time, process time, and care responsibilities
Bibliographic record
Abstract
Over the past half century, time-use studies have become a leading method for researching unpaid care work, especially in the multidisciplinary field of gender divisions of household work and care and in feminist international studies on counting and accounting for women's unpaid work. Although attention to conceptual and methodological refinements in time-use methods is increasing, more focus on the challenges of conceptualizing and measuring care responsibilities, the limitations of measuring relational care practices with clock time, the existence of other kinds of time, and the epistemological and ontological moorings of time-use studies is needed. Two research programs inform this article: qualitative and longitudinal research with Canadian households in which parents were challenging norms, practices, and ideologies of male breadwinning and female caregiving; and the development of a feminist ecological ethico-onto-epistemological approach to knowledge making. A case study from the first program and several pivotal ideas drawn from the second-about relational ontologies, multiple ontologies, and the ethico-political dimensions of knowledge making-support three key arguments advanced in this article. First, I argue for a deeper interrogation of methodological and epistemological matters in coding, classifying, and categorizing care tasks in time-use studies. Second, I maintain that care responsibilities exist as "process time"; they can be narrated, but they cannot be measured in fixed units of clock time. Third, I maintain that it is not only possible, but politically and conceptually important for researchers to look beyond clock time, to recognize the ontological multiplicity of time, including relational and non-linear time and to embrace and use different kinds of time. This article is part of a growing call to reimagine how we think about, conceptualize, measure, and make knowledges about time, time use, and care-time intra-actions.
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.081 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".