The representations of work-life balance in Canadian newspapers
Bibliographic record
Abstract
Work-life balance has become a topic of increasing interest in the media as well as a concern among working Canadians. Since print media discourse can both reflect and shape societal values, cultural norms and ideals of workers in this country, it is important to understand this representation and its potential influence on the occupational engagement and life transitions of Canadian workers. Articles from four major Canadian newspapers published between 2003 and 2005 were used as data sources to examine the media construction of "work-life balance". Thematic analysis of 100 articles was performed using a modified affinity diagramming process. Representations within the Canadian print media conveyed both themes pertaining to the perceived experiences of imbalance and balance, as well as, a process of life balance. Obtaining balance was portrayed as an ongoing process during which an individual negotiates and sacrifices in an attempt to achieve his or her ideal level of balance. Environmental expectations and individual practices and perceptions were conveyed as reasons for the success or derailment of balance. The representations of work-life balance found in the Canadian print media were predominantly of professionals, focused on the demands of work and family, and did not appear to be a broad representation of the multiple realities that all Canadians face.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.016 | 0.021 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".