<i>I feel like</i> and <i>it feels like</i>: Two paths to the emergence of epistemic markers
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
Abstract The collocation I feel like has attracted American media attention for reportedly being newly ubiquitous (Baker 2013, Smith 2015, Worthen 2016). While I have proposed that it is becoming an epistemic marker in North American dialects of English (Brook 2011: 65), I have made this prediction of (it) feels like as well. The present study artificially restricts the conventional envelope of variation to evaluate what distinguishes these two phrases in vernacular Canadian English. I feel like is the more frequent by far, but (it) feels like shows a specialization for metaphorical subordinate clauses rather than concrete ones. I interpret this as a case of persistence (Torres Cacoullos and Walker 2009). Before the arrival of the like complementizer, the only predecessors to ’(it) feels like were (it) feels as if and (it) feels as though , and both as if and as though have a preference for metaphoricality (Brook 2014). I feel like was also preceded by options with ’ as if and as though , but counterbalanced with that and Ø, which prefer concrete subordinate clauses (Brook 2014). The results attest to the value to be found in (cautiously) conducting a microscopic study of a corner of the envelope of variation.
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 | 0.012 |
| 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 | 0.000 |
| 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