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Record W757598109

Anatomy of a Community's Coming of Age

2013· article· en· W757598109 on OpenAlexaboutno aff
Henry A. J. Ramos

Bibliographic record

VenueHarvard journal of Hispanic policy · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationPoliticsQuarter (Canadian coin)American Community SurveyPublic opinionImmigrationPopulation growthPolitical scienceSociologyDemographyHistoryCensusLaw
DOInot available

Abstract

fetched live from OpenAlex

When I founded the Harvard Journal of Hispanic Policy in the mid-1980s, Hispanic America was a largely unknown and underappreciated force on the American political landscape. Some demographers were beginning to note that our growth trajectory across the nation was potentially game changing, but the vast majority of American policy makers, opinion leaders, and the broader public was mostly ignorant of our impending national significance. At that time, Latinos (then only 6 percent of the national population, compared to more than 16 percent now) were mainly concentrated in a handful of cities and states and largely seen as a population of non-English speaking immigrants. Positive media representations of Latinos were almost nonexistent, and there were few policy leaders with a Hispanic background or expertise in national policy-making circles. In effect, the U.S. Latino community was neither positioned as nor seen to be a major factor in American public life. Now, a generation later, the nation is waking up to the reality that, looking to the future, as Latinos go, so goes our nation. Indeed, after a long wait dating back to the founding of the United States and its extension westward, our community has finally come of age. One part of the equation is the Latino population's rapid growth in recent years and the projection of even greater numerical increases and geographic dispersion of our population in the years to come. By 2050, Latinos are expected to make up fully one-quarter of the national population. As important as our raw numbers are, however, so is our community's growing prevalence in virtually all corners of the nation, especially in the states most influential in presidential elections: California, Florida, Illinois, New York, and Texas. As recently failed Republican presidential candidate Mitt Romney learned, and the nation with him, it is no longer possible for any presidential hopeful of either party to be elected without winning the majority of these states; and it is no longer possible to win any of these key electoral states without the support of a majority of Latino voters. As we also saw in 2012, this trend is increasingly characteristic of major senatorial and statewide campaigns for office. In essence, within a single generation, Latinos have gone from being a forgotten and marginalized minority to an essential swing voting bloc in the nation's most important elections. Hispanic Americans still have a long way to go to achieve political, economic, and social equality. To be sure, Hispanic school completion rates are still too low, and Latino health and economic mobility indices remain disturbing in the early twenty-first century. Anti-immigrant sentiment and related hate crimes directed mainly at Latinos also remain significant concerns. Political representation of Latinos in policy-making fields, though increasing steadily, continues to be too low. Despite these lingering realities, no one can doubt that Latinos are suddenly a large factor in our national life and that we are making remarkable progress. The implications of these developments are huge. They mean that, one day soon, America will elect a Latino president. They mean that, one day in the not-too-distant future, more and more influential states across the land will elect Hispanic governors, U.S. senators, mayors, and other high-ranking policy officials. As all of these changes occur, Latino men and women will have the opportunity for the first time in U.S. history to affect the major policies that will define the American future. Our emergence as a political force across the land is not merely a product of our growing numbers and reach as a community. It is also a result of the significant gains we have made in recent decades in creating essential mediating institutions that have leveraged our talents and perspectives in fields ranging from law and the media to education and philanthropy. …

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.341
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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