History and IS – Broadening Our View and Understanding: Actor–Network Theory as a Methodology
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
The call for historical research In IS, mirrored In other fields of business studies, Is an explicit recognition of the predominance of presentism in business research; the use of the past only to justify and validate current beliefs or inserting modern beliefs onto the past, rather than using the past to understand and reveal current assumptions and biases. There is freedom in severing time and centering ourselves and our artifacts (computer technology), looking to improve the future unburdened by the past. Yet, if that assumption is wrong, and the present is instead fluid and unstable because the past embedded in the present is tension filled and unresolved, this raises fundamental challenges to the work that we do, the value of that work to others, and is cause for reflection on our impact as educators. This paper demonstrates the merits of using Actor-Network Theory as a methodology for historical IS research, through its use in a Canadian case study. The study was prompted by the apparent resolution of a privacy controversy, involving personal motor vehicle registration information in the province of Alberta, through an appeal to something called ‘historical purposes and practices.’ Strangely, the purposes and practices were never identified. This begged the question, ‘what was the substance of this argument and how come it was successful?’ Tracing actual ‘purposes and practices,’ from the early 1900s to the present, reveals how historical, contextual understanding offers not only insights into, but can alter our very understanding of, the present.
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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 | 0.000 |
| 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 | 0.002 |
| 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 it