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Record W2895860424

Almost everyone in New York is raising PRICEs

2018· article· en· W2895860424 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholarlyCommons (University of Pennsylvania) · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsRaising (metalworking)EconomicsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Using the data from the new CUNY Corpus of New York City English, we explore a phonological analysis by Kaye (2012) that argues that the New York City English (NYCE) PALM shares an underlying 'stem vowel' with PRIZE. Kaye's proposal is based on two observations: (i) the phonetic similarities of PALM and the nucleus of PRIZE and (ii) the conditioning factors that have led to the historical relexicalization of many Middle English short-o words from LOT to PALM are the same as those that have led relexicalization PRICE words to PRIZE. However, it has previously been observed that PALM is merging with LOT in NYCE. Consequently, it would be likely that if that vowel shares an underlying identity with PRIZE, PRIZE too should be merging. In fact, our data show a complex pattern. First, although PRIZE is backer than PRICE, there is considerable overlap. Also, the PRIZE nucleus tends to coincide with LOT more than PALM. Second, more younger speakers, who have a merged PALM-LOT, do not show a merged PRIZE-PRICE, but a new form of distinction, in which PRICE and PRIZE are now in a Canadian Raising pattern. In this way, NYCE loses a locally distinctive vowel configuration to match a widespread northeastern US regional pattern with a two-vowel low back system and Canadian Raising involving PRICE and PRIZE. In sum, the data show the complexity of the relationship between vowels in subsystems and that reconfigurations may involve multiple elements.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.002

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.

Opus teacher head0.269
GPT teacher head0.420
Teacher spread0.151 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it