Helping First Nations women to shatter the glass ceiling
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 public lecture was given at the invitation of the Centre for Social Responsibility in Mining, Sustainable Minerals Institute University of Queensland to acknowledge Adjunct Associate Professor Henrietta Marrie's selection as one of the Westpac - Australian Financial Review 100 Women of Influence for 2014. The paper ponders what lies in store for two young Gimuy Walubara Yidinji girls based on two scenarios posed in a Lowitja Institute 2014 research report, The Shape of Things to Come. The contrasting scenarios outline how their lives might look by the time they reach the age of 29 in 2030. Henrietta looks back on her own experiences and the strong women who influenced her. Drawing on her more recent UN and Australian experiences, she alludes to issues of race and gender for Indigenous women wanting to reach the top in their chosen careers.
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 | 0.000 | 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 | 0.001 | 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