Managing Conflict and Resistance to Change in a Minor Hockey System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In March 2017, responding to a pressure to improve athlete development and enjoyment, Hockey Canada moved to change how youth are introduced to hockey by mandating the implementation of a cross-ice development program for its entry-level participants. The mandate of cross-ice programming was to ensure that all 75,000 entry-level participants received increased touches of the puck on an appropriately sized playing surface; thus, heightening their spatial awareness and foundational skills necessary to enjoyably move forward in hockey. As is common for many sport organizations, the proposed programming changes were met with resistance by some stakeholders. Surprisingly, the resistance to the programming changes evolved into a much-publicized intergroup conflict within Hockey Canada’s largest market. The dispute could not be resolved in time for the beginning of the 2017–2018 season. As a result, the defiant local leagues were granted a one-year reprieve from implementing cross-ice programming. With only a one-year reprieve granted, Hockey Canada must now determine the appropriate steps to fully implement their desired programming change and ensure that resistance-based conflicts are limited in the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| 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 it