School Administration Gatekeeping on “Sensitive/Controversial” Research Topics
Bibliographic record
Abstract
For many engaged in qualitative research with human participants, a common question can often arise: What happens when gatekeepers block access to participants? The multitude of themes of resistance used by school administrators to prevent public school teachers across Canada from taking part in an investigation of personal perspectives of secularism in their professional workspace is explored in depth. This research dilemma was overcome by the use of critical inquiry and the development of a “tree of responses” to respond to each attempt to halt professional dialogue nationwide. With this approach, our target of 120 teacher participants was achieved, allowing us to not only delve into secularism in schools but also consider the notions of teachers’ rights to participate in research along with the fear and confusion that can arise with the alleged sensitivity and controversy this topic raises in some of the minds of today's educational leaders.
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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 | 0.313 | 0.222 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.016 | 0.064 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".