4 Factor Analysis 5 Latent Semantic Indexing 6 Independent Component Analysis
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
A vector space V over the set of real numbers as scalars R has an addition and a scalar multiplication defined, with the following properties. 1. (v1 + v2) + v3 = v1 + (v2 + v3) 2. There is a zero vector 0 in V 3. For each vector v, there is a −v, such that v + (−v) = 0 4. v1 + v2 = v2 + v1 5. 1v = v for real number 1 6. r1(r2v) = (r1r2)v 7. (r1 + r2)v = r1v + r2v 8. r(v1 + v2) = rv1 + rv2 Evangelos Milios (Dalhousie Univ.) Dimensionality Reduction October 6, 2009 3 / 78Linear dependence and basis set V: a vector space of dimension k. Linear dependence: Vectors v1, v2,..., vm are linearly dependent, if there exist λ1, λ2,..., λm s.t. λ1v1 + λ2v2 +... + λmvm = 0. Examples: Position vectors of 3 points are linearly dependent in R 2. Position vectors of 3 coplanar points in R 3 are linearly dependent. Does the plane have to contain the origin? Evangelos Milios (Dalhousie Univ.) Dimensionality Reduction October 6, 2009 4 / 78Basis set
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.004 |
| 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) | 0.006 | 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