Organisational experimentation in favour of ethnocultural diversity:An action-research study in a Canadian union
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
This paper examines a study conducted within a larger action-research project designed to support a union’s initiative to rethink its capacity to ensure the building of an ethnoculturally diversified pool of internal staff. In this paper, we present our action-research framework as well as focus on one of the studies conducted between 2022 and 2024 in a collaborative approach to examine the level of ethnocultural diversity among the union’s professional staff In this first micro-study, we gathered a first set of data regarding their experiences in relation to the matter through a survey (n= 304 responses) distributed among the union’s professional staff. Results provide various insights both by confirming homogeneity among staff and fleshing out specific educational and professional paths undertaken by staff members identifying with ethnic minorities. More open questions in the survey also provide staff’s testimonies of cases of discrimination within the organisation’s staffing and performance appraisal practices. The union has approached this reflexive exercise as an organisational experimentation, which will involve a long process with various stages of investigation, reflection and action.
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 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