Bibliographic record
Abstract
If it were possible to lay bare and unfold all the presuppositions in what I call my reason or my ideas at each moment, we should always find experiences which have not been made explicit, large-scale contributions from past and present, a whole ‘sedimentary history’ which is not only relevant to the genesis of my thought, but which determines its significance . (Merleau-Ponty, 1962: 395) … only members of the in-group, having a definite status in the hierarchy and also being aware of it, can use its cultural pattern as a natural and trustworthy scheme of orientation. (Schutz, 1944: 504) Arriving at an airport in a foreign land makes us aware of two things. The first is an immediate awareness of how much of this ‘new’ everyday life one doesn't understand. Taking a bus trip from the airport into town requires a ticket: where does one get one? Is it at an office or on the bus? If on the bus, from the driver or a conductor? Do you need the correct money, or do they give change? What are these coins, anyway; which is worth what? How do you get the bus to stop where you want to get off? Secondly, and less immediately, these experiences reveal how much ‘we didn't know we knew’ about how these things are done at home: that at home, these things are not a problem at all, but part of our natural and unreflective grasp of our circumstances.
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.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".