Access to records and family reunification
Bibliographic record
Abstract
I didn't know anything about the system, the foster family wouldn't help me whatsoever.… It was hard enough just to live life on an everyday level with the obstacles that I got hit with to just be sort of normal in society. (Roseanne, adult care-leaver, 2011) In the opening quotation, Roseanne, a member of the Stolen Generations now aged in her 50s, refers to the challenges that she experienced over many years as she searched for information about herself and her family. Only more recently have services been available to assist her to do this, as well as to offer assistance for the range of other ‘obstacles’ she endured. Roseanne's is an extraordinary story where, through accessing her personal records, she was to discover that she was Aboriginal, that she had grown up in a foster home with another young woman who was her sister although she did not know this until many years later, and that she had many other siblings. She was also reunited with her father, with whom she had last had contact when she was two years old. When she was still only an infant, he had returned to England believing that he was no longer able to have any contact with his daughter. While acknowledging the different circumstances, the importance of this need to have a sense of identity is similarly illustrated in relation to child migrants: just as much as adults, [former child migrants] have their own unique histories, however brief and fragmentary, that remain a crucial part of their sense of identity. Their knowledge and understanding of their past may be incomplete because they have ‘not been told’, or have been given confusing, false or contradictory accounts of what happened to them. Nonetheless, what they do know or believe is not easily forgotten, be it people, places, experiences or possessions. Although movement – especially from one culture to another – ruptures a past, it does not extinguish it; indeed, it is likely to intensify the desire to know and to remember the details of that past. Moreover: there is a great sense of the deep need to know about family and friends and to have a significant ‘connection’ with someone. It belies the widespread belief at the time that once in Canada children would find a ‘new life’ in a ‘new family’ and put the past behind them.
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.
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 | 0.009 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.019 |
| Scholarly communication | 0.013 | 0.020 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.032 | 0.003 |
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".