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
Summary How does one go about doing or engaging in ethnomethodological study of local occasions? Would such study be of value for social workers, hence would it help them to understand the everyday accomplishment of practice as social work? Harold Garfinkel, the founder of ethnomethodology, argued that the task is to start with and to be in the midst of ordinary and everyday activities. A beginning in ordinary, mundane, and everyday activities is also to be surrounded by taken-for-granted understandings, frameworks, and facts or facticities. The focus on “facticities” of everyday things directs us to attend to utterly ordinary and mundane interactions, and here there is deep congruence with social work interests and practices. Findings This paper turns to Garfinkel’s oeuvre to set out in readily understandable language the orientation and tools needed for social workers to do ethnomethodological studies. A focal question is: Just how might social workers in the midst of practice actually go about engaging in EM? Application By taking up tools from ethnomethodology, social workers can better understand and explicate the essential reflexivity of their everyday practice. As a result, EM provides a pathway for both understanding and teaching effective social work through a reflective and reflexive turn.
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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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