Yukon government, social media use and the contingency theory of communication
Bibliographic record
Abstract
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Using the experiences of communication practitioners in a small Canadian territorial government, this research examines the use of social media as part of government communication using a contingency theory approach. Specifically, data collected through qualitative interviews examine how decisions are made to use social media as part of a communications strategy, what contingency factors affect how these messages are created and used, and what practitioners hope to accomplish in approaching relationships with stakeholders through social media. Social media use in Yukon Government was assessed by practitioners as tightly constrained by organizational structure and process, and facing challenges of limited staff, resources, and capacity to adapt to rapid change. The twelve contingency factors, cycle of conflict and contingency theory as a whole were found to be a useful analytical tool in a non-US government communication context, demonstrating that government communication practice can inform and be informed by general public relations theory.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".