Uses and Impacts of Home Computers in Canada: A Process of Reappropriation
Bibliographic record
Abstract
This chapter presents an overview of results, detailed longitudinal data is referred to in order to illustrate the more tangible features therein. The 'potential reappropriation' perspective is particularly relevant to the case of home computers in that it underlines the relationship of the impact of an innovation to the context of use and highlights three of the computer's traits that distinguish it from virtually all other innovations. The variables selected for study included sociodemographic, media consumption, motivations and perceptions, technological antecedents, information sources, decision-making, personal use, interpersonal environment, impact, and perception of technology and society. The importance of the "potential reappropriation" of the innovation would appear to be verified in light of our findings; those respondents who eventually succeeded in integrating the computer into their daily lives did so as a result of an on-going process of exploration and reappraisal.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".