Engaging Technology: A Missing Link in the Sociological Study of Human Knowing and Acting
Bibliographic record
Abstract
Whereas technology has been the focus of much discourse in both public theatres and sociological arenas, comparatively little attention has been given to the study of the ways that people actually deal with technology as realms of human knowing and acting.Working from a symbolic interactionist perspective (Mead 1934; Blumer 1969) and drawing on classical Greek scholarship as well as some interim sources, this paper addresses technology as a humanly engaged process.Attending to human group life as "something in the making" and focusing on the activities entailed in encountering, using, developing, promoting, obtaining, and resisting instances of technology, this paper outlines a research agenda intended to foster situated (i.e. ethnographic) examinations of technologically-engaged, humanly enacted realities. It also serves as a reference point for assembling and comparing studies of the technology process that deal with this set of activities.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.066 |
| Scholarly communication | 0.013 | 0.023 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".