Leadership and change in human services : selected readings from Wolf Wolfensberger ; compiled and edited by David G. Race
Bibliographic record
Abstract
For over forty years Wolf Wolfensberger has been a significant figure in the world of human services, especially in the field of learning disability. His work on normalization and citizen advocacy in the late 1960s and early 1970s has been acknowledged by supporters and critics alike to have been fundamental to developments in a number of countries, most notably his adopted country, and the USA, Canada, Australasia, and the UK. His further work in developing the theory of social role valorization, the successor to normalisation, and as a commentator on broader trends in society and their effects on vulnerable people and services for them has ensured his place as a major voice for values and the human worth of all people. Never afraid of controversy, his views have brought him into conflict with institutional vested interests and radical groups alike. In Leadership and Change in Human Services David Race introduces the reader to Wolfensberger's key ideas through a series of extracts, with commentary, from his published work. Throughout the edited selection, the emphasis is on placing Wolfensburger's work in contemporary context and examining its continuing relevance today. Including a comprehensive bibliography of Wolfensburger's written output, this text offers an invaluable source of reference to all those concerned with the recent history of the human services.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".