Making space for work: understanding freelancers’ hybrid work identities through work from home practices
Bibliographic record
Abstract
Through narratives of media freelancers in Toronto, Canada, this paper examines how hybrid work identities are revealed through work from home practices. For freelancers, work identities often shift between employer and employee; self-employment requires that an individual attends to both what is best for the business and what is best for the worker. This hybrid identity is naturalized in freelancing, and often hard to talk about, but it emerges through spatial strategies of working from home. We identify three scales: moving house to give more space to work or allow work to happen at home; reconfiguring home/work space, to prioritize space for work or to ensure it is comfortable and aesthetically pleasing; third, inhabiting home/work space to shift to ‘work mode’ through bodily practice. Our data consists of two sets of interviews, the first from before the start of the pandemic (conducted from December 2019 to March 2020) and the second set during the pandemic (conducted from September to December 2021). By examining the spatial strategies that freelancers enact to make work possible, we open up a way to talk about work identity, offering insights on broader back to the office debates and the changing work identities of all those able to work from home.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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".