Indigenous media producers’ perspectives on objectivity, balancing community responsibilities and journalistic obligations
Bibliographic record
Abstract
Professional communicators produce a diverse range of global Indigenous media while balancing professional journalistic conventions such as ‘objectivity’ against community and organizational responsibilities. Despite their work being tarred as biased, soft or preaching to the converted, Indigenous media producers argue that their work counterbalances biased mainstream media coverage that hampers Indigenous public sphere participation and denigrates Indigenous communities and individuals. Through interviews with 42 Indigenous media producers from Australia, Canada, Finland, Sweden and New Zealand, this study investigates their journalistic processes and attitudes to professional norms such as objectivity, source choices and news values. The article interrogates how Indigenous media producers navigate the tensions between their professional obligations and community responsibilities. It argues Indigenous media producers apply a modified version of objectivity to produce fact-driven content that promotes Indigenous perspectives, prioritizes Indigenous voices and serves the needs of their communities.
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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 | 0.020 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.035 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| 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".