Bibliographic record
Abstract
Traditional research methodologies are all about control.Above everything else, the researcher endeavours to isolate variables so that one research question can be asked and answered in no uncertain terms.Any spin-off effects are eschewed as unwanted by-products of poor design and execution.And, in the world of pure science, this is a very good mind-set indeed.Did it not lead to the discovery of many a miracle cure?A new element?An untried mechanism?However, in most cases, one unavoidable consequence of research (whether the researcher desires it or not) is collaboration.For all the myths of the lone scientist, hermit-like in a cell-shaped laboratory, it cannot be denied that most effective research takes the form of partnerships and group work: Banting had Best; Marie had Pierre; and the Manhattan Project needed an army of researchers to achieve results.In the end, one of the (albeit unintended) outcomes of most research undertakings is proof that collaboration works.This remains implicit in most write-ups and reports, but nevertheless, it must be recognized.When the "founder of social psychology," Kurt Lewin, set out the Action Research model in 1944 while at MIT, he distinguished it as a core aspect of his study of group dynamics.In his 1946 paper "Action Research and Minority Problems", he described it as "a comparative research on the conditions and effects of various forms of social action and research leading to social action" (p.35), accentuating not only the study of personal interactions, but including personal interactions and leading to personal interaction.Now, over time, action research has evolved into a myriad of approaches under one umbrella.But, I must agree with Margaret Riel, Director for the Center for Collaborative Action Research, who argued that while the method involves a deep inquiry into one's professional practice, "it is also a collaborative process as it is done WITH people in a social context, and understanding that change means probing multiple understanding of complex social systems" (Riel, 2020).On a more practical note, Riel added that the underlying implication was that all action researchers followed a commitment to data sharing.
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 | 0.248 | 0.250 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.017 | 0.089 |
| Scholarly communication | 0.027 | 0.059 |
| Open science | 0.007 | 0.035 |
| Research integrity | 0.016 | 0.030 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".