Unbundling practice: the unbundling of big deal journal packages as an information practice
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
Purpose The purpose of this article is to introduce a theoretical framework and approach for studying the evaluation and decision-making practices through which academic librarians attempt to reduce the cost of electronic journal subscriptions – an organizational practice known as the unbundling of big deal journal packages. Design/methodology/approach The article presents a literature-based conceptual analysis of several fields to delineate the elements of the practice of unbundling of big deal journal packages. Beyond analysing the prior literature, the discussion is supported by empirical findings from a pilot study on the topic conducted by two of the article's authors. Findings The main finding of the article is that the unbundling of big deal packages is a case of what sociologist refers to as decision-making in a social context. By reviewing previous studies, the article identifies the social and material elements constitutive of this practice. This, in turn, allows to develop questions and concepts for future research on the topic and to position it as an area of inquiry within the field of information behaviour/practices. Originality/value The article is the first attempt to conceptualize the unbundling of big deal journal packages by highlighting its phenomenological status as a type of information practice. In addition, the article proposes a research approach for studying this type of information practice by drawing on insights from the information behaviour/practice literature and enriching them through practice theory contributions in organizational studies and sociology.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.018 |
| 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