The Main Aspects of the Activities of Charitable Organizations in the Legacy of Mary Ellen Richmond
Bibliographic record
Abstract
The article is devoted to the analysis of the scientific heritage of Mery Elen Richmond. A cornerstone of building the social work profession, Mary Richmond was known for her ability to organize communities, her development of casework practice, as well as her ability to teach and speak intelligently on a wide array of subjects. The subject of the article is the provisions on the activities of charitable organizations in the United States during the life and work of the researcher. The article describes the main problems in the activities of charitable organizations of the late 19th - early 20th centuries During this time Richmond was connected to the COS, she demonstrated her qualities as a leader, teacher, and practical theorist; ; revealed the functions of charitable organizations in the theory and practice of M. E. Richmond; described possible provisions for improving the activities of charitable organizations in accordance with the legacy of Mary Ellen Richmond, who is considered a principle founder of the profession of social work and the importance of professional education. Her first principle was that care had to focus on the person within their situation. Building on extensive research, she developed what she labelled ‘social diagnosis’. Her famous circle diagram visualized the correspondence of client and environment. Richmond identified six sources of power that are available to clients and their social workers: sources within the household, in the person of the client, in the neighborhood and wider social network, in civil agencies, in private and public agencies. This is a precursor of the system theory that was so popular in 1970’s social work.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".