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
Abstract Fieldwork involves long‐term research in which the investigator spends an intensive amount of time inquiring into the way of life of a specific human population. Used properly, it can result in extremely useful portraits of little‐known, misunderstood, or fully unknown ways of life. The main goal is to learn an inside point of view, or what it is like to live as a member of a specific sociocultural formation. Instead of relying on the statistical methods of quantitative research, fieldworkers gather information through a wide variety of ethnographic or qualitative methods. The reliability issue is dealt with through comparing information gathered through more than one research method and by analyzing information in relation to the broader context (e.g., economic, political, religious, institutional). Reliability may also be checked more formally through the use of simple counting schedules. Key methods include participant observation, several kinds of interviewing techniques, and self‐reporting methods. The researcher is always the first and primary research instrument of fieldwork. The key to fieldwork lies in the relationship of mutual trust established between the researcher and those with whom s/he is working. Without such a relationship, productive fieldwork is not possible.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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