MétaCan
Menu
Back to cohort
Record W2621242189

«Ser» y «estar»: Developmental Stages of Acquisition

2013· article· en· W2621242189 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

VenueScholarWorks - GVSU (Grand Valley State University) · 2013
Typearticle
Languageen
FieldPsychology
TopicDevelopmental and Educational Neuropsychology
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology
DOInot available

Abstract

fetched live from OpenAlex

Early French immersion programs in Canada applied what some have referred to as a gentle approach to language teaching, one in which students received intensive exposure to the target language over an extended period of several years while the expectations for French usage among the learners developed slowly over time. A focus on form and explicit corrective feedback were limited or nonexistent. This approach to language immersion served as a model for the development of immersion programs in the U.S. This paper examines the acquisition of the Spanish copular verbs «ser» and «estar» among secondary students enrolled in a Spanish immersion program originally established in accordance with the underlying principles of Canadian immersion models. The students in the study had completed a total immersion elementary program of six years and partial immersion middle school program of two years consisting of two contact hours per day in Spanish. Data were gathered from a picture description task that students completed orally. The findings of that oral task have served to underscore the importance of implementing a focus on form component in this program. Recent programmatic modifications and examples of the original and current student oral production will be presented.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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