Navigating Potentially Conflicting Political Rationalities: Discursive Strategies About “Family” in Alberta’s Child Welfare Law
Bibliographic record
Abstract
This paper empirically investigates how lawmakers navigate family law's contested terrain. Using Alberta's newest child welfare law, the Child, Youth and Family Enhancement Act (2004) as a case, I explain the discursive strategies used to pass this unique law through a socio-political context dominated by political rationalities with partially divergent ideas of "family." Analysis reveals two dominant discursive strategies. The first creates a discursive framework that expels welfarist rationalities and centers tensional neoliberal and neoconservative logics. The second navigates the tensions between neoliberal and neoconservative images of family by constituting the content of families as autonomous and responsible while leaving the form of families indeterminate. Together these strategies were flexible enough to ensure the law's passage through a divided legislature, while at the same time increasing interpersonal responsibility. I demonstrate that the only conclusion one can make about "family" in this context is that it is a calculation of responsibility that excludes the state. I problematize the techniques and concepts used to present this law and suggest reforms to make the construction of family law a more meaningfully inclusive process.
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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 | 0.001 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".