<scp>Isabella Paoletti</scp>, <i>Being an older woman: A study in the social production of identity</i>. Mahwah, NJ: Erlbaum, 1998. Pp. xiv, 94. Hb $36.00, pb $19.95.
Bibliographic record
Abstract
In the past fifteen years, there has been an upsurge of interest in matters social-gerontological within both sociolinguistics and communication science. This is manifest in an abundance of books, and particularly special journal issues, in an international series of conferences (at its fifth venue in Vancouver, 2001), and in a handbook on the topic (Nussbaum & Coupland 1995). Paoletti's concise paperback – the eighth in a series, “Everyday communication: Case studies of behavior in context,” edited by Wendy Leeds-Hurwitz and Stuart J. Sigman – contributes to this growing literature in important ways, not least of which are its focus on the active elderly and its recourse to Italian data.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".