Pragmatic Objectivity in Practice: Reading The Globe and Mail Columns of Christie Blatchford
Bibliographic record
Abstract
Pragmatic objectivity, the normative theory set forth in Stephen Ward’s The Invention of Journalism Ethics, argues that good journalism requires the “diligent application of fallible methods over time” (2004, p. 292). This article reads The Globe and Mail columns of Christie Blatchford as a practical example of pragmatic objectivity. Blending complex ethotic appeals with straightforward reportage, these columns constitute a kind of hybrid genre, which gives Blatchford scope to construct herself as reliable even as she concedes that reportorial objectivity in the traditional sense is impossible. Her writing on Canada’s mission in Afghanistan, however, is problematic. Aware that being embedded with the military risks undermining her rhetorical ethos, Blatchford nonetheless seems unable to turn the resources of the hybrid genre to her advantage.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.015 | 0.036 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".