Piloting the Power of the Post: The Impact of Parents’ Social Media Use on Canadian Urban Middle Level Principals
Bibliographic record
Abstract
This study examines principals’ perceptions of how their work is impacted by parents through their social media use. This research was borne of a pilot research project conducted as a first step toward doctoral candidacy. Although conducted on a smaller scale with limitations in both size and scope, the data and interpretations derived from the completion of this pilot provide solid insights into this phenomenon and establish a baseline for further research. The data was collected from an online survey and semi-structured interviews with five Canadian urban middle level principals. The data was analysed using the “Sort, Sift, Think, and Shift” method of qualitative data analysis honed by Maietta et al. (2021). The research emphasizes the concerns of school principals regarding parents' behaviour on social media platforms and their perceptions of how this behaviour affects their schedule, decision-making process, and overall role as principals. This paper focuses on how principals feel overall while also illustrating the value of conducting a pilot in doctoral research.
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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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".