Exploring the Intervention— Context Interface
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
It has been acknowledged for several decades that programs interact with context. The nature of this interactivity, and how it defines a program, has not been adequately addressed. We view this lacuna as a function of the dominant theoretical perspectives guiding knowledge of program operations. We propose the actor-network theory (ANT) and its conceptual apparatus, the sociotechnical network, as suitable for guiding the acquisition of general knowledge on program operations. We tested this proposition with an instrumental case study of health professional practices during the implementation of a nutrition program into an elementary school setting. Data collection and analysis were guided by the ANT. Data were derived from semistructured interviews completed with six health professionals (nutritionists). Analysis procedures focused on the nutritionists’ collective representation of the microprocesses by which they aimed to build a sociotechnical network of alliances with educational stakeholders. Findings identified nutritionists as preoccupied with three overarching goals during the implementation of the nutrition program, whereby goals were found to take form interactively with the interests of the program participants (primarily students) and stakeholders (primarily teachers). Nutritionists strategically translated program components as a means of negotiating with participants and stakeholders. The findings of this study support the theoretical proposition that program implementation is a process of expanding a sociotechnical network. Beyond simply reaffirming that programs do indeed adapt to context, we interpret this adaptation through the lens of a social theory that suggests why and how adaptation is an inevitable component of program implementation.
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 | 0.011 | 0.003 |
| 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 | 0.001 |
| 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