This profile is a persistent identity and corpus record. Bibliographic facts, author-supplied information, editorial verification, computational measurements, model inferences, and external indexes are identified separately throughout the page.
Profile status
Unclaimed
11registered publications
13,675analyzed words
2017–2019represented publication period
6.6effective primary themes
2documented inbound sources/citations
1member publications represented
Interactive corpus map
Patterns in registered work
Explore how recurring themes and framings connect across this author’s registered publications. Each topic opens its Collective archive.
ThemeAcademic framingPolicy framingRecurring co-occurrenceConnection across framing typesBroader and narrower term
Drag a topic to rearrange the map. Drag empty space to move the constellation, use the mouse wheel or controls to zoom, and hover or focus a topic to emphasize its direct connections. Line strength reflects recurrence in this author’s registered corpus; it does not imply agreement or causation.
This analysis covers 11 registered publications dated 2017–2019. Full source text was available for 11 records, partial text for 0, and metadata only for 0.
The registered corpus is the unit of analysis. These statistics describe available texts and metadata; they are not claims about the author’s personality, intelligence, intentions, identity, or private beliefs.
11publications analyzed
1,059median words per publication
100.0%full-text coverage
0.0%archival-copy coverage
0co-authored publications
0possible duplicate groups
Registered output by year
PublicationsDocumented reception
70
2017
32
2018
10
2019
Registered publication output trends downward across the represented years. Linear model R²: 0.96.
Publication-length distribution
3372–681
2681–989
2989–1,298
11,298–1,607
11,607–1,915
01,915–2,224
12,224–2,532
12,532–2,841
Mean 1,243 words · median 1,059 · standard deviation 798.
Education and youth · Law and civil rights · Violence, safety, and dehumanization · Media, rhetoric, and discourse
Potential change points compare rolling three-year thematic distributions with Jensen-Shannon divergence. They are model-derived boundaries, not authoritative divisions in the author’s intellectual biography.
Theme ecology
Breadth, concentration, and communities
91.1%normalized thematic breadth
6.6effective primary themes
0.190theme concentration (HHI)
100%mean primary-theme confidence
Primary-theme assignments are broadly distributed. The most recurrent primary themes are Education and youth, Law and civil rights, Violence, safety, and dehumanization.
Proximity reflects corpus-relative lexical similarity. Larger nodes have more documented inbound evidence; node color reflects the primary theme.
Publication; color identifies primary themeStronger lexical similarityLarger node: more documented reception
The semantic map uses TF-IDF vectors and cosine similarity within this registered corpus. Position is produced by a force layout from the strongest similarity edges; proximity is relative, not an absolute measure of meaning.
Administrative classification and identity documents
Civil rights and anti-discrimination
Research ethics and data governance
Education policy
Criminal justice and public safety
Historical analysis
2
2
1
2
1
0
0
Interpretive analysis
1
1
1
0
0
0
1
Legal analysis
0
0
1
1
1
0
0
Clinical and medical analysis
0
0
1
1
1
0
0
Public-health analysis
0
0
1
1
1
0
0
Critical theory
1
1
0
1
0
0
0
Media and discourse analysis
2
1
0
1
0
0
0
Language and rhetorical form
Measurable textual characteristics
0.817moving-average lexical diversity
24.2mean sentence length
414.4mean paragraph length
13.7Flesch grade estimate
Rhetorical feature profile
Axes are normalized to display scales stated in the methods note; the chart is comparative within the profile, not a grading instrument.
Sentence-length distribution
2642–20
22320–38
4838–55
1655–73
773–91
391–109
2109–126
1126–144
1.2questions per 1,000 words
6.8quoted passages per 1,000 words
7.4outbound links per 1,000 words
Distinctive terms relative to the Collective baseline
violence14.8
change9.8
registration8.8
marker8.8
sarah8.0
rape7.4
child6.8
texas6.6
property6.6
card6.5
university6.4
american6.4
abortion6.2
north6.2
countries5.9
carolina’s5.8
brazilian5.8
catholic5.8
View rates and comparison values
Term
Author rate / 1,000
Collective rate / 1,000
Log-odds z
violence
9.33
0.96
14.82
change
5.94
1.06
9.81
registration
2.83
0.05
8.83
marker
2.69
0.06
8.80
sarah
2.12
0.11
7.96
rape
2.97
0.46
7.39
child
2.97
0.55
6.84
texas
2.83
0.54
6.63
property
1.41
0.04
6.60
card
1.41
0.03
6.52
university
1.84
0.22
6.43
american
3.25
0.75
6.39
abortion
1.27
0.03
6.24
north
1.98
0.29
6.19
countries
1.13
0.06
5.89
carolina’s
1.13
0.03
5.85
brazilian
1.13
0.03
5.85
catholic
1.13
0.07
5.82
force
1.98
0.35
5.76
death
1.84
0.30
5.75
necessary
1.55
0.22
5.64
milo
1.13
0.02
5.63
home
1.84
0.32
5.62
threat
1.55
0.23
5.56
Lexical statistics are descriptive properties of the available texts. They do not diagnose writing quality, intelligence, personality, or intent. Distinctive terms are compared with a sampled Collective baseline using smoothed log-odds.
Source families are inferred from link domains and URL patterns. They describe the ecology of linked evidence and references, not the reliability or ideological position of an individual source.
Collaboration and relationships
Co-authorship and corpus similarity
Author relationship network
Co-authorship and corpus-based similarity are displayed as different relationship types.
Co-authorship, corpus similarity, citation relationships, and publication overlap are shown as distinct relationship types. A corpus relationship does not imply a personal, institutional, or political association.
Documented circulation and reception
How evidence of reuse is distributed across the corpus
2documented source records
2distinct referring domains
0scholarly citation records or provider total
0books or edited-volume references
18.2%publications with evidence
0.818reception concentration (Gini)
Evidence by channel
Source-publication references1
Public-web references0
Scholarly citing works0
Books and edited volumes0
Links inside the Collective1
Media and educational references0
Documented references over time
12020
12026
Reception concentration
The most-referenced 10% of publications account for approximately 100.0% of documented reception.
Reception measures documented circulation and reuse across the evidence sources available to the Collective. They do not establish quality, correctness, cultural worth, or the author’s social standing. Provider totals can overlap.
Comparative corpus context
Contrasts with other registered Collective publications
The comparison baseline contains 1,200 other registered publications. Differences are descriptive contrasts, not author rankings.
Comparisons use the rest of the registered Collective as the default baseline. Percentage-point differences and standardized effects describe corpus contrasts; they are not rankings or evaluations of authors.
Corpus coverage
Places, institutions, periods, and populations represented
Geographic coverage
United States6
Europe1
Institutions named
American College2
Africa Litigation Centre. Botswana High Court1
National Department1
South Africa’s Department1
National Rifle Association1
Pacific Justice Institute1
Evergreen State College1
Family Research Council1
Historical periods
2010s12
1960s7
2000s5
1990s5
1980s2
1940s1
Populations discussed
transgender people7
women7
children and adolescents7
students and educators5
families and parents5
activists and organizers5
patients and healthcare users1
racial and ethnic communities1
Coverage measures recurring places, institutions, historical periods, scopes, and population terms in the registered texts. It describes what is present in the corpus and does not judge omissions or infer the author’s identity or attitudes.
Guided reading paths
Different ways into the registered corpus
Representative workClosest to the semantic center of recurring work in the registered corpus.
These categories describe structural positions in the registered corpus. They do not establish scholarly quality, correctness, or cultural value.
Trust, correction, and reuse
Provenance, profile control, and research data
How to read this profile
Source-supplied
Provided by a member publication.
Author-verified
Confirmed by the profile owner.
Editor-verified
Reviewed by a Collective editor.
Computationally measured
Calculated directly from registered text or metadata.
Model-inferred
Produced by a versioned analytical model.
External index
Obtained from an external bibliographic or web index.
Profile actions
Authors and other knowledgeable parties may request identity corrections, article-association review, classification review, or visibility changes. Requests create an editorial revision record rather than silently replacing prior data.
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