MétaCan
Menu
Back to cohort

Proceso metodológico y construcción de un sistema categorial de una investigación sobre identidad organizacional

2018· article· es· W2900627731 on OpenAlex
Diego René Gonzales–Miranda, Beatriz Amparo Uribe Correa

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsicoperspectivas Individuo y Sociedad · 2018
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicOrganizational Management and Innovation
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En este documento se expone el proceso de construcción del modelo metodológico y de los sistemas categoriales relacionados con una investigación sobre la identidad organizacional de los mandos medios desde la perspectiva de los Estudios Organizacionales. Se describe el contexto de desarrollo del trabajo y, a la vez, se explica el estudio de caso específico que enmarca el análisis de los datos y los resultados. Se examina el marco teórico, fundamento del modelo metodológico del análisis pertinente. Se señalan los pasos transitados para construir las categorías de análisis y los sistemas de categorías que permiten darle sentido a los datos obtenidos para responder a los objetivos propuestos. Se trata del proceso metodológico que subyace a toda investigación y que pocas veces se hace explícito, lo que permitirá a otros investigadores tener un referente y alternativas para la realización de su propio proyecto de construcción de sentido, un aspecto primordial -sino el más importante- del proceso de aprendizaje de todo investigador.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.013
GPT teacher head0.249
Teacher spread0.236 · 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