Bibliographic record
Abstract
Social media technologies have the potential to be powerful knowledge sharing and community building tools for both corporate and non-profit interests. This pilot study explores the social media presence of a group of forty-six Alberta-based non-profit organizations (NPOs) in this information rich space. In this paper we look at the pattern of presence of NPOs using social media and relationships with staffing structures.Les médias sociaux ont la capacité d’être de puissants outils de partage de la connaissance et de rassemblement communautaire pour les organisations à but lucratif et sans but lucratif. Cette étude pilote explore la présence dans les médias sociaux d’un groupe de quarante-six organisations sans but lucratif (OSBL) albertaines dans cet environnement riche en information. La communication portera sur les modèles de présence des OSBL dans les médias sociaux et les liens avec les structures organisationnelles.
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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 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.008 |
| Open science | 0.003 | 0.001 |
| 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".